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Director, AI Engineering (Remote - eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. **Team Description:** The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. **What You’ll Do:** + Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. + Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. + Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. + Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. + Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. + Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. + Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline + Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks + Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness + Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards **The Ideal Candidate:** + You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good + Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production + You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example + You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven + You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss + You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown **Basic Qualifications:** + Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies + At least 3 years of people leadership experience **Preferred Qualifications:** + 5+ years of experience managing and leading an engineering team + 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) + Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang + Experience in building agentic AI systems and agentic workflows + Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production + Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers + Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently + Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks + Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews) + Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) **_Capital One will consider sponsoring a new qualified applicant for employment authorization for this position._** The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Director, AI Engineer McLean, VA: $269,100 - $307,200 for Director, AI Engineer New York, NY: $293,600 - $335,100 for Director, AI Engineer San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Director, AI Engineering (Remote - eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. **Team Description:** The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. **What You’ll Do:** + Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. + Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. + Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. + Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. + Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. + Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. + Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline + Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks + Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness + Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards **The Ideal Candidate:** + You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good + Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production + You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example + You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven + You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss + You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown **Basic Qualifications:** + Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies + At least 3 years of people leadership experience **Preferred Qualifications:** + 5+ years of experience managing and leading an engineering team + 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) + Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang + Experience in building agentic AI systems and agentic workflows + Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production + Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers + Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently + Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks + Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews) + Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) **_Capital One will consider sponsoring a new qualified applicant for employment authorization for this position._** The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Director, AI Engineer McLean, VA: $269,100 - $307,200 for Director, AI Engineer New York, NY: $293,600 - $335,100 for Director, AI Engineer San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Director, AI Engineering (Remote - eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. **Team Description:** The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. **What You’ll Do:** + Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. + Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. + Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. + Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. + Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. + Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. + Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline + Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks + Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness + Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards **The Ideal Candidate:** + You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good + Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production + You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example + You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven + You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss + You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown **Basic Qualifications:** + Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies + At least 3 years of people leadership experience **Preferred Qualifications:** + 5+ years of experience managing and leading an engineering team + 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) + Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang + Experience in building agentic AI systems and agentic workflows + Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production + Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers + Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently + Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks + Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews) + Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) **_Capital One will consider sponsoring a new qualified applicant for employment authorization for this position._** The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Director, AI Engineer McLean, VA: $269,100 - $307,200 for Director, AI Engineer New York, NY: $293,600 - $335,100 for Director, AI Engineer San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

System Requirements Analyst The Opportunity: Integrate with existing requirements team resources to manage end-to-end configuration. Elicit, document, analyze, manage, and test existing and new DoD system functionality and requirements. Draft and present requirements analysis to team members. Analyze existing systems and system documentation, determine gaps and issues, document as necessary. Develop use cases and other required supplemental documentation supporting system capabilities and requirements. You Have: + 2+ years of experience working in a team environment + 1+ years of experience with the DoW + 1+ years of experience with supporting eliciting, analyzing, or tracking functional requirements + Experience in Microsoft Office + Secret clearance + Bachelor's degree Nice If You Have: + Experience with interfacing with clients through varied methods, including in-person + Experience with developing briefs and presentations + Possession of excellent writing skills + Possession of excellent oral and written communication skills + Possession of excellent time and task management skills Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $55,200.00 to $126,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. + Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. + Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility. + Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

**Req ID:** RQ230016 **Type of Requisition:** Regular **Clearance Level Must Be Able to Obtain:** Secret **Public Trust/Other Required:** None **Job Family:** IT Infrastructure and Operations **Skills:** Cloud Deployment,Cloud Engineering,Cloud Integrations,Infrastructure as a Service (IaaS),Unified Communications **Experience:** 10 + years of related experience **US Citizenship Required:** Yes **Job Description:** Unified Communication SME Engineer GDIT is seeking a Unified Communication Senior Principal Engineer Lead in support of the Defense Information Systems Agency (DISA) Global Video Services (GVS) business area to enable the integration of video services into the Department of Defense (DoD). This position is a combination of remote (20%) and onsite (80%) support in Fort Meade, MD . MEANINGFUL WORK AND PERSONAL IMPACT As a Unified Communication Senior Principal Engineer Lead, you'll play a crucial role in advancing our communication infrastructure to deliver seamless, secure, and efficient unified capabilities (UC). As the engineering team lead, you will provide technical direction, coordinate a team of engineers, prioritize engineering efforts, and ensure successful delivery of mission-critical capabilities. You will drive the engineering strategy supporting both contemporary IP Video systems and integration with legacy UC services and endpoints, ensuring compliance with DoD directives and guidelines. You'll continuously assess, project, and enhance system capabilities, contributing to the resilience and scalability of the infrastructure. By developing and maintaining critical system documentation and working closely with cyber team members, your work will directly support effective communication strategies vital to the mission's success. + **Leadership:** Lead a team of engineers, establish technical direction, coordinate engineering priorities, and ensure successful execution of modernization and sustainment initiatives in support of the customer’s mission. + **Lab Environment:**  Responsible for leading all activities related to re-baselining and maintaining the engineering lab environment ensuring it is current and represents the customers production environment. + **Engineering Support** : Serve as an expert for migration from legacy video infrastructure toward modern, cloud-capable UC platforms; support platform upgrades, Smart Licensing transitions, and hardware refresh projects. + Provide Engineering/Tier III troubleshooting and sustainment across UC video infrastructure — spanning legacy platforms (Cisco VCS/Expressway, Poly/Cisco endpoints) and modern solutions (Pexip Infinity, Microsoft Teams CVI). + **System Capacity Planning** : Develop System Capacity Expansion Plans; conduct quality assurance and performance checks across UC telecommunications design, video networking elements, and end-user peripherals. + **Compliance and Security** : Ensure all architecture and designs comply with current DoD directives and guidelines, especially for classified networks, providing continuing security engineering support. + **Logistics and Configurations** : Offer strategic logistics support and recommend specific configurations to enhance system functionality. + **Lifecycle Management** : Implement and validate final hardware and software configurations while maintaining up-to-date System Engineering and Functional Requirements documentation. + **UC Analysis and Design** : Provide expert analysis, design, integration, and testing support for Unified Communication solutions. + **Quality Assurance** : Perform performance and quality assurance checks on UC telecommunications design, voice and video networking elements, and end-user peripherals. + **Deployment Models** : Design solutions for various cloud deployment models (IaaS, PaaS, SaaS) optimizing the essential characteristics of cloud computing. + **Customer Interaction** : Analyze customer requirements, assess design/technology alternatives, and facilitate discussions with stakeholders to propose and implement effective solutions. WHAT YOU’LL NEED TO SUCCEED ● Education: BA/BS in Computer Science or related field ● Experience: 10+ years of related experience or 14 years of related experience. ● Technical skills: + **UC Networking Expertise** : 3+ years in real‑time communications (VoIP/Video) with deep SIP/SDP/RTP/SRTP/TLS/WebRTC expertise + **Video Infrastructure** : Hands-on experience with Cisco VCS Control / Expressway (C & E series) — SIP/H.323 interworking, traversal zone configuration, and signaling troubleshooting. Experience with Poly and Cisco hardware video endpoints + **IT Principles and Techniques** : Strong grasp of information technology principles, methods, and associated hardware/software. + **Domain Expertise** : Experience with integration and/or management of classified voice and video systems. + **Support Skills** : Extensive support knowledge in DNS, certificates/PKI, TLS, signaling/media, AD, PowerShell, APIs/REST, Network/FW, and h.323/SIP. + **Advanced Troubleshooting** : Proven troubleshooting across signaling/media layers using call traces and packet captures (Wireshark/tcpdump). + **Customer Service** : Superior customer service skills, essential for engaging with diverse stakeholder groups and ensuring system reliability and user satisfaction. ● Security clearance level: Active DoD Secret ● Role requirements: + **Cloud Certifications** : Senior Microsoft Azure Certifications, other industry recognized cloud engineering/architecture or security certifications. + **UC Certifications** : including SBC training/cert or similar. + **UC and Cloud Integration** : Experience with Pexip, Azure, O365 integration. + **Infrastructure** : Experience with Vidyo infrastructure (Routers, Portals, Gateways, WebApp components). + **DoD IL5/IL6** : Familiarity with Microsoft Teams interoperability in a DoD IL5/IL6 environment. GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at the center of everything we do. ● Growth: AI-powered career tool that identifies career steps and learning opportunities ● Support: An internal mobility team focused on helping you achieve your career goals ● Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off ● Community: Award-winning culture of innovation and a military-friendly workplace OWN YOUR OPPORTUNITY Explore an enterprise IT career at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your desire to drive operations forward. The likely salary range for this position is $164,382 - $201,250. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. **Total Rewards at GDIT:** Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. **Our Identity Verification Process:** As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes. **About Our Work:** We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development. Join our Talent Community to stay up to date on our career opportunities and events at https://gdit.com/tc. Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

Director, Data Science - Consumer and Developer Experience (Remote-Eligible) Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. **Team Description** At Capital One, we are relentless innovators with a proven track record of transforming customers’ experiences and the financial services industry. We’re delivering best-in-class innovation so that our more than 100 million customers can manage their finances with ease. We consider ourselves the bank a technology company would build – empowered to use artificial intelligence (from machine learning to generative AI) to transform everyday banking into real-time, intelligent products that help customers improve their financial well-being. We’re all-in on the cloud and are a leader in the adoption of open source. We build our own products and release them with a speed and agility that allows us to get new customer experiences to market quickly. We’re going boldly where no bank has gone before. And, as a founder-led company, we are centered in our mission to help customers succeed. In this role, you will: + Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love + Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data + Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation + Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: + Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. + Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. + Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. + A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. + Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. + Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. + A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: + Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics + A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics + At least 4 years of experience leveraging open source programming languages for large scale data analysis + At least 4 years of experience building/deploying AI/ML models in production + At least 4 years of experience designing and analyzing A/B tests Preferred Qualifications: + PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics + At least 1 year of experience working with AWS + At least 3 year of experience managing people + At least 5 years of experience in Python, Scala, or R for large scale data analysis + At least 5 years of experience with machine learning Capital One is open to hiring a Remote Employee for this opportunity. **Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.** The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Dir, Data Science Chicago, IL: $244,700 - $279,200 for Dir, Data Science McLean, VA: $269,100 - $307,200 for Dir, Data Science New York, NY: $293,600 - $335,100 for Dir, Data Science Richmond, VA: $244,700 - $279,200 for Dir, Data Science Riverwoods, IL: $244,700 - $279,200 for Dir, Data Science San Francisco, CA: $293,600 - $335,100 for Dir, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Director, Data Science - Consumer and Developer Experience (Remote-Eligible) Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. **Team Description** At Capital One, we are relentless innovators with a proven track record of transforming customers’ experiences and the financial services industry. We’re delivering best-in-class innovation so that our more than 100 million customers can manage their finances with ease. We consider ourselves the bank a technology company would build – empowered to use artificial intelligence (from machine learning to generative AI) to transform everyday banking into real-time, intelligent products that help customers improve their financial well-being. We’re all-in on the cloud and are a leader in the adoption of open source. We build our own products and release them with a speed and agility that allows us to get new customer experiences to market quickly. We’re going boldly where no bank has gone before. And, as a founder-led company, we are centered in our mission to help customers succeed. In this role, you will: + Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love + Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data + Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation + Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: + Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. + Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. + Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. + A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. + Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. + Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. + A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: + Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics + A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics + At least 4 years of experience leveraging open source programming languages for large scale data analysis + At least 4 years of experience building/deploying AI/ML models in production + At least 4 years of experience designing and analyzing A/B tests Preferred Qualifications: + PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics + At least 1 year of experience working with AWS + At least 3 year of experience managing people + At least 5 years of experience in Python, Scala, or R for large scale data analysis + At least 5 years of experience with machine learning Capital One is open to hiring a Remote Employee for this opportunity. **Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.** The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Dir, Data Science Chicago, IL: $244,700 - $279,200 for Dir, Data Science McLean, VA: $269,100 - $307,200 for Dir, Data Science New York, NY: $293,600 - $335,100 for Dir, Data Science Richmond, VA: $244,700 - $279,200 for Dir, Data Science Riverwoods, IL: $244,700 - $279,200 for Dir, Data Science San Francisco, CA: $293,600 - $335,100 for Dir, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Director, Data Science - Consumer and Developer Experience (Remote-Eligible) Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. **Team Description** At Capital One, we are relentless innovators with a proven track record of transforming customers’ experiences and the financial services industry. We’re delivering best-in-class innovation so that our more than 100 million customers can manage their finances with ease. We consider ourselves the bank a technology company would build – empowered to use artificial intelligence (from machine learning to generative AI) to transform everyday banking into real-time, intelligent products that help customers improve their financial well-being. We’re all-in on the cloud and are a leader in the adoption of open source. We build our own products and release them with a speed and agility that allows us to get new customer experiences to market quickly. We’re going boldly where no bank has gone before. And, as a founder-led company, we are centered in our mission to help customers succeed. In this role, you will: + Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love + Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data + Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation + Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: + Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. + Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. + Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. + A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. + Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. + Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. + A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: + Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics + A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics + At least 4 years of experience leveraging open source programming languages for large scale data analysis + At least 4 years of experience building/deploying AI/ML models in production + At least 4 years of experience designing and analyzing A/B tests Preferred Qualifications: + PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics + At least 1 year of experience working with AWS + At least 3 year of experience managing people + At least 5 years of experience in Python, Scala, or R for large scale data analysis + At least 5 years of experience with machine learning Capital One is open to hiring a Remote Employee for this opportunity. **Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.** The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Dir, Data Science Chicago, IL: $244,700 - $279,200 for Dir, Data Science McLean, VA: $269,100 - $307,200 for Dir, Data Science New York, NY: $293,600 - $335,100 for Dir, Data Science Richmond, VA: $244,700 - $279,200 for Dir, Data Science Riverwoods, IL: $244,700 - $279,200 for Dir, Data Science San Francisco, CA: $293,600 - $335,100 for Dir, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Director, AI Engineering (Remote - eligible) At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences. Our investments in technology infrastructure and world-class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world-class applied science and engineering teams to deliver our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure. At Capital One, you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses who have come to love the products and services we build. **Team Description:** The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand-in-hand with our partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact. **What You’ll Do:** + Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One. + Oversee the design, development, testing, deployment, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc. + Make high judgment build-vs-buy decisions across a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more. + Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. + Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One. + Attract and retain top talent in the AI industry and nurture personal and professional development for your team. Foster a culture of learning and staying abreast of the state-of-the-art in AI. + Translate the enterprise AI strategy into portfolio-level execution plans across multiple product areas, balancing innovation with delivery discipline + Scale AI engineering practices across teams through shared infrastructure, reusable components, and unified observability and governance frameworks + Establish enterprise standard for Responsible AI, including fairness metrics, model evaluation protocols, documentation requirements, and audit readiness + Partner with research, compliance, and enterprise risk teams to ensure deployed systems meet emerging ethical and regulatory standards **The Ideal Candidate:** + You love to build systems, take pride in the quality of your work, and also share our passion to do the right thing. You want to work on problems that will help change banking for good + Passion for staying abreast of the latest research, and an ability to intuitively understand scientific publications and judiciously apply novel techniques in production + You get fulfillment from empowering others to achieve their potential and you actively drive professional development through mentoring and coaching. You are hands-on when necessary and lead by example + You adapt quickly and thrive on bringing clarity to big, undefined problems. You love asking questions and digging deep to uncover the root of problems and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven + You are deeply Technical. You possess a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss + You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown **Basic Qualifications:** + Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies, or a Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies + At least 3 years of people leadership experience **Preferred Qualifications:** + 5+ years of experience managing and leading an engineering team + 7+ years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) + Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang + Experience in building agentic AI systems and agentic workflows + Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production + Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers + Experience building and leading multi-team AI organization delivering multiple enterprise products or capabilities concurrently + Proven ability to expand and execute long-term AI platform strategies aligned to enterprise priorities and regulatory frameworks + Experience establishing cross-functional operating rhythms and review cadences (OKRs, AI governance councils, quarterly reviews) + Experience right-sizing models, instance counts, and hardware types given requirements (e.g., context length, token inputs, token outputs) **_Capital One will consider sponsoring a new qualified applicant for employment authorization for this position._** The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Director, AI Engineer McLean, VA: $269,100 - $307,200 for Director, AI Engineer New York, NY: $293,600 - $335,100 for Director, AI Engineer San Francisco, CA: $293,600 - $335,100 for Director, AI Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Network Firewall Engineer The Opportunity: Are you looking for a career-defining opportunity to share your expertise in designing, developing, and implementing innovative network security solutions to support our country's critical infrastructure and fortify our nation's digital defenses? As a systems security and next-generation firewall engineer, you will be responsible for the enterprise-wide deployment of the Palo Alto Networks Security Operating Platform and its associated Panorama management framework. We need your experience to oversee the development and implementation of advanced security solutions to deliver robust threat prevention and improve the overall enterprise security posture. On our team, you'll supervise and mentor a team as they troubleshoot and analyze complex network challenges for customers using your deep knowledge of Palo Alto's key security features, including App-ID, User-ID, Threat Prevention, and GlobalProtect. You'll manage the research of new technologies and market trends to further develop and refine our security solutions and ensure continuous alignment with the evolving threat landscape. In this role, you'll closely impact mission success, protecting data and networks from malicious payloads and actors. With mentoring, challenging hands-on problem-solving, and opportunities to learn new tools and skills, we focus on growing as a team to make the best solutions for our customers. Work with us as we secure and protect our nation's most sensitive capabilities. What You'll Work On: + Develop relationships quickly and easily with other teams, communicating the complexities of security with a wide variety of audiences, including senior management. + Manage infrastructure and cybersecurity controls, including enhanced detection and vulnerability capabilities and improved event correlation in large enterprises. + Lead risk and vulnerability assessments in network, system, and application areas, and leverage big data analytics and traditional security event types to identify advanced threats or indicators of compromise. Join us. The world can't wait. You Have: + Experience configuring, managing, and optimizing Network Firewalls + Experience with multi-domain architectures, including data center, WAN, and LAN in virtualized architectures + Active TS/SCI clearance; willingness to take a polygraph exam + HS diploma or GED and 7+ years of experience with supporting IT projects and activities, Associate's degree and 5+ years of experience supporting IT projects and activities, Bachelor's degree and 3+ years of experience supporting IT projects and activities, or Master's degree and 1+ years of experience supporting IT projects and activities + Ability to obtain a DoD 8570 IAT Level III Certification, such as Security X, CASP+, CCNP Security, CISA, CISSP, GCED, GCIH, or CCSP Certification within 45 days of start date + Ability to obtain a DoD 8570 Cybersecurity Service Provider - Infrastructure Support Certification (CSSP-IS), including CEH, CySA+, GICSP, SSCP, CHFI, CFR, Cloud+, or CND Certification within 30 days of start date Nice If You Have: + Experience in configuring, managing, and optimizing Palo Alto Firewalls directly and via Panorama + Experience with Linux OS administration and management + Knowledge of building and maintaining SolarWinds NPM and IPAM + Ability to be a self-starter, work without considerable direction, and work with a team + Possession of excellent verbal and written communication skills, including for coordinating efforts and establishing customer relations Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Candidate AI Usage Policy AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided. Work Model Our people-first culture prioritizes the benefits of collaboration. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings. + Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility. + Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen or customer facility, in alignment with your leadership's expectations and the needs of the role. + Onsite: If this position is listed as onsite, work will primarily be performed full-time at a customer facility, where employees will collaborate directly with colleagues and customers as required by the role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Director, Data Science - Consumer and Developer Experience (Remote-Eligible) Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making. As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives. **Team Description** At Capital One, we are relentless innovators with a proven track record of transforming customers’ experiences and the financial services industry. We’re delivering best-in-class innovation so that our more than 100 million customers can manage their finances with ease. We consider ourselves the bank a technology company would build – empowered to use artificial intelligence (from machine learning to generative AI) to transform everyday banking into real-time, intelligent products that help customers improve their financial well-being. We’re all-in on the cloud and are a leader in the adoption of open source. We build our own products and release them with a speed and agility that allows us to get new customer experiences to market quickly. We’re going boldly where no bank has gone before. And, as a founder-led company, we are centered in our mission to help customers succeed. In this role, you will: + Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love + Leverage a broad stack of technologies — Python, Conda, AWS, H2O, Spark, and more — to reveal the insights hidden within huge volumes of numeric and textual data + Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation + Flex your interpersonal skills to translate the complexity of your work into tangible business goals The Ideal Candidate is: + Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers. + Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them. + Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea. + A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You’re passionate about talent development for your own team and beyond. + Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms. + Statistically-minded. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning. + A data guru. “Big data” doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science. Basic Qualifications: + Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date: + A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 9 years of experience performing data analytics + A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 7 years of experience performing data analytics + A PHD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 4 years of experience performing data analytics + At least 4 years of experience leveraging open source programming languages for large scale data analysis + At least 4 years of experience building/deploying AI/ML models in production + At least 4 years of experience designing and analyzing A/B tests Preferred Qualifications: + PhD in “STEM” field (Science, Technology, Engineering, or Mathematics) plus 5 years of experience in data analytics + At least 1 year of experience working with AWS + At least 3 year of experience managing people + At least 5 years of experience in Python, Scala, or R for large scale data analysis + At least 5 years of experience with machine learning Capital One is open to hiring a Remote Employee for this opportunity. **Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.** The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Remote (Regardless of Location): $244,700 - $279,200 for Dir, Data Science Chicago, IL: $244,700 - $279,200 for Dir, Data Science McLean, VA: $269,100 - $307,200 for Dir, Data Science New York, NY: $293,600 - $335,100 for Dir, Data Science Richmond, VA: $244,700 - $279,200 for Dir, Data Science Riverwoods, IL: $244,700 - $279,200 for Dir, Data Science San Francisco, CA: $293,600 - $335,100 for Dir, Data Science Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website (https://www.capitalonecareers.com/benefits) . Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).