Software-Engineer, Artificial-Intelligence-Engineer, Full-Stack-Engineer Jobs

About Accenture:

Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 814,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $74 billion in FY26 revenue. Visit us at accenture.com.

We are:

A forward-thinking services company at the forefront of AI-native engineering. We partner with enterprise clients to design, build, and run production systems in which AI is a first-class engineering capability, engineered into the product and into the way our teams build it. Our engineers embed deeply with customers, own the code they ship, and move work past experimentation into operational reality.

You are:

An engineer who builds across the stack: front end, APIs, services, data, and the infrastructure it runs on. You take ownership of a feature through to production, including the parts that sit outside your strongest layer, and you have shipped software that real users depend on. You can explain the design decisions behind your work and what you would do differently.

AI is part of how you work. You use AI tools daily to generate, test, debug, and document code, and you have built at least one production feature in which a model performs meaningful work. You understand what it takes for a system to hold up under production load, security review, and real users.

You'll grow into an engineer who can own an entire system, developing depth in cloud, security, data, and agentic engineering alongside senior engineers who remain hands-on in the code with you.

The Work:

You'll work as part of a client-embedded engineering team, taking real features from design through production. You will be handed problems to solve, and you will be expected to ask precise questions, make progress under ambiguity, and put working software in front of stakeholders quickly.

Build Across the Stack

• Build and ship production features across front end, APIs, backend services, integration, and data, taking a feature end to end across every layer it touches.
• Read and debug unfamiliar code, trace a problem across application, data, and infrastructure boundaries, and fix the underlying cause.
• Build and Run on Cloud-Native Platforms
• Develop, containerize, and deploy services on a major cloud platform using Docker, Kubernetes or serverless, and managed cloud services.
• Apply infrastructure as code (Terraform, Helm, or equivalent), and take part in keeping your services healthy, observable, and recoverable in production.
• Work Inside the Delivery Pipeline
• Work within automated CI/CD pipelines, writing the automated tests, resolving pipeline failures, and taking your own changes through to production.
• Apply secure engineering practices as you code, including identity and access fundamentals, secrets handling, dependency hygiene, and input validation.

Work With Data and Context:

• Design and implement the data access your features need across relational and non-relational stores, APIs, object storage, and event platforms.
• Build the retrieval and context layers AI features depend on, including knowledge sources, embeddings, metadata, and context management, applying data quality, access, and privacy controls as you go.

Build AI Features and Agent Workflows:

• Integrate commercial and open models through APIs and enterprise AI platforms, using tool calling, structured outputs, retrieval, and context engineering to make them useful inside live business workflows.
• Build agent workflows with tools, memory, and human checkpoints, and write the evaluations that measure their behavior against accuracy, latency, safety, and cost.

Engineer With AI Every Day:

• Use AI-native development techniques throughout your own workflow, including code generation, test generation, debugging, refactoring, documentation, and code comprehension, and measure the effect on your throughput and quality.
• Give agents the context, tools, and boundaries they need to safely handle bounded engineering tasks, and review their output to the same standard you would apply to a colleague's code.

Grow and Contribute:

• Participate in design reviews, code reviews, and production troubleshooting, applying feedback quickly and raising the quality of the work around you.
• Document what you learn and contribute patterns, reusable components, and tooling back to the team and to our internal AI-native engineering community.

Travel may be required for this role. The amount of travel will vary from 25% to 75% depending on business need and client requirements.

Here's What You Need:

• Minimum of 3 years of professional software engineering experience building production software.
• Minimum of 2 years of hands-on experience working across more than one layer of the stack, for example front end and API, or services and data.
• Minimum of 3 years of programming experience in at least one major language such as Java, Python, Go, TypeScript/JavaScript, or C#.
• Minimum of 3 year of hands-on experience with a major cloud platform (AWS, Azure, or GCP), including building and deploying containerized services.
• Minimum of 3 year of experience working within an automated CI/CD pipeline, including writing automated tests.
• Minimum of 1 year of hands-on experience building and shipping AI-enabled features or agent workflows, including model integration through APIs, tool calling, structured outputs, retrieval, and context engineering.
• Minimum of 1 year of experience applying AI coding tools to day-to-day software development, including code generation, test generation, debugging, and documentation
• Bachelor's degree in Computer Science, Engineering, or equivalent (minimum 12 years) work experience. (If Associate’s Degree, must have minimum 6 years work experience)

Bonus Points If You Have:

• A public repository, portfolio, or open-source contribution featuring agents, tools, or plugins you built yourself.
• Experience with an agent framework such as LangGraph, Crew AI, the Claude Agent SDK, or the OpenAI SDK.
• Experience writing evaluations or test harnesses that measure AI behavior.
• Hands-on experience with infrastructure as code and observability tooling.
• Relevant cloud or AI certifications.
• Experience in a client-facing or product-facing role presenting your own technical work to stakeholders.
• Experience in a startup, product company, or hyperscaler environment where you owned a feature from idea through production.

"Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.

We anticipate this job posting will be posted until 12/13/2026."

Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:

Role Location Hourly Salary Range

California $30.67 to $113.03

Colorado $30.67 to $97.64

Connecticut $30.67 to $97.64

District of Columbia $32.69 to $103.99

Illinois $28.41 to $97.64

Maine $26.15 to $83.22

Maryland $30.67 to $97.64

Massachusetts $30.67 to $103.99

Minnesota $30.67 to $97.64

New York $28.41 to $113.03

New Jersey $32.69 to $113.03

Ohio $28.41 to $90.43

Virginia $28.41 to $103.99

Washington $32.69 to $103.99

About Accenture

Visit us at

What We Believe

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.

Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here

Requesting An Accommodation

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

For details, view a copy of the  Accenture Equal Opportunity Statement

Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.

Accenture is committed to providing veteran employment opportunities to our service men and women.

Other Employment Statements

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.

California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.

Originally posted on Himalayas

Flexera saves customers billions of dollars in wasted technology spend. A pioneer in Hybrid ITAM and FinOps, Flexera provides award-winning, data-oriented SaaS solutions for technology value optimization (TVO), enabling IT, finance, procurement and cloud teams to gain deep insights into cost optimization, compliance and risks for each business service. Flexera One solutions are built on a set of definitive customer, supplier and industry data, powered by our Technology Intelligence Platform, that enables organizations to visualize their Enterprise Technology Blueprint™ in hybrid environments—from on-premises to SaaS to containers to cloud.

We’re transforming the software industry.  We’re Flexera.  Withmore than 50,000 customersacross the world, we’re achievingthat goal.Butwe knowwe can’t do any of that without our team. Ready to help us re-imagine the industry during a time of substantial growth and ambitious plans?  Come and see whywe’re consistently recognized by Gartner, Forrester and IDCas a category leader in the marketplace.Learn more atflexera.com

We are building a new model for software engineering: a small, autonomous team that combines strong engineering fundamentals with AI coding agents to deliver valuable software quickly, safely, and reliably.

We are looking for motivated Software Engineers who want to develop their engineering skills while working in an AI-first environment. You will work closely with a Principal Engineer and another software engineer to design, build, test, deploy, and improve real software used by our business and customers.

AI coding tools such as Claude Code and OpenAI Codex will be integral to your daily workflow. Rather than writing every line of code manually, you will learn to direct AI agents, provide the right context, break down problems, evaluate generated solutions, and verify that the resulting software actually works.

We are hiring engineers who can use AI to solve problems, not simply people who can generate code with AI.

This role offers the opportunity to build production software, develop strong technical judgment, take ownership of meaningful features, and grow faster through hands-on experience and mentorship.

What You'll Do:

Build and Deliver Software

• Implement product features, APIs, integrations, internal tools, and engineering improvements using our technology stack
• Turn requirements and technical designs into small, well-defined implementation tasks
• Use AI coding agents to accelerate implementation, explore alternative solutions, generate tests, and improve existing code
• Contribute across the software development lifecycle, including requirements clarification, design, implementation, testing, deployment, and support
• Deliver working software in small increments, incorporating feedback quickly
• Take ownership of assigned features from initial understanding through production readiness

Work Effectively with AI Coding Agents

• Use tools such as Claude Code, OpenAI Codex, and other approved AI engineering tools as part of your everyday development process
• Provide AI agents with clear objectives, relevant repository context, constraints, and acceptance criteria
• Break larger tasks into manageable steps and coordinate multiple AI-assisted tasks when appropriate
• Review generated code for correctness, readability, security, performance, and consistency with existing architecture
• Identify hallucinations, incorrect assumptions, unnecessary complexity, and subtle defects in AI-generated implementations
• Use AI to investigate unfamiliar codebases, understand errors, explain complex logic, and accelerate learning
• Improve your workflows by capturing reusable instructions, documenting discoveries, and sharing effective techniques with teammates

Test, Debug, and Maintain Quality

• Write and maintain unit tests, integration tests, and other appropriate automated checks
• Reproduce bugs, identify root causes, and implement durable fixes rather than superficial workarounds
• Validate AI-generated code against explicit requirements and expected behavior
• Participate in code reviews and respond constructively to feedback.
• Use automated testing, linting, type checking, and CI/CD pipelines to catch problems early
• Follow established security practices and avoid exposing credentials, sensitive information, or production data to unauthorized tools
• Help maintain clear documentation and understandable code that other engineers can confidently modify

Take Ownership and Collaborate

• Own assigned features and technical improvements, communicating progress, risks, and blockers early
• Work directly with the team lead to clarify requirements and make appropriate technical decisions
• Collaborate with your teammate to review implementations, investigate problems, and share knowledge
• Ask thoughtful questions, challenge questionable assumptions, and suggest simpler or better solutions
• Participate in technical discussions and contribute ideas that improve the product and development process
• Gradually take responsibility for larger features and make more decisions independently as your skills develop

Learn and Improve Continuously

• Build strong foundations in software design, debugging, testing, security, and system architecture
• Learn how to use AI effectively without becoming dependent on code that you cannot explain or maintain
• Explore new tools and techniques that improve the quality and efficiency of software delivery
• Share lessons learned from successful implementations, failed experiments, and production issues
• Develop the skills needed to become an independent engineer capable of owning increasingly complex systems

Required Qualifications:

• Foundational programming experience through professional work, internships, academic projects, or substantial personal projects
• Working knowledge of at least one programming language relevant to our technology stack
• Understanding of core software engineering concepts, including data structures, control flow, APIs, debugging, and version control
• Familiarity with Git and collaborative development practices
• Ability to break problems into smaller steps, investigate unfamiliar concepts, and learn new technologies independently
• Interest in using AI tools to improve software development, with a willingness to learn effective prompting, context management, and code validation
• Strong analytical thinking and attention to detail
• Clear communication skills and the ability to ask for help when needed.
• A sense of ownership, intellectual curiosity, and commitment to delivering reliable software

Preferred Qualifications:

• Hands-on experience with AI coding tools such as Claude Code, OpenAI Codex, GitHub Copilot, or comparable agentic development tools
• Experience building applications, APIs, integrations, automation scripts, or other working software
• Familiarity with automated testing, CI/CD, cloud platforms, containers, or relational databases
• Experience reading, debugging, and extending an existing codebase rather than working exclusively on greenfield projects
• Examples of using AI to build a project, solve a difficult technical problem, or improve an existing implementation
• Interest in learning multiple layers of the application stack and contributing beyond narrowly defined coding tasks

Development

Originally posted on Himalayas