AWS Presales Solution Architect- AIML focus
SnapSoft Kft.
SnapSoft is a leading AWS Premier Tier Partner specializing in cloud migrations, Generative AI (GenAI), DevOps, and application development. We help startups, SMEs, and enterprises drive innovation, reduce costs, and enhance security. Using our expertise, we seamlessly implement AI solutions, assist with migrations to AWS, and optimize DevOps process velocity. Our experienced team holds renowned AWS certifications, including the AWS Generative AI Competency, the Migration Acceleration Program, and the DevOps Competency. Through our scalable and secure applications, we are shaping the future of innovative technologies.
As a Presales Solution Architect at SnapSoft, you will be the technical bridge between our sales team, our delivery team and our clients. You'll leverage your deep understanding of Generative and Traditional AI, AWS and cloud technologies to design and present compelling solutions that address complex business challenges. You will play a pivotal role in driving our growth by translating client needs into innovative, scalable, and secure GenAI solutions on AWS.
What you’ll do
Needs Assessment and Analysis
Conducting in-depth assessments with clients to understand their business and technical needs.
Analyzing client requirements and proposing feasible technical solutions based on them.
Identifying client challenges and goals, recommending effective solutions, and building client trust.
Sales Support
Working closely with the sales team to jointly develop competitive sales strategies.
Supporting the sales process as a technical expert, answering questions, and facilitating communication with clients.
Managing the scope of client requirements and drafting contractual proposals based on them.
Participating in RFI/RFP responses.
Understanding AWS enablement/support programs and applying them based on client needs.
Cost Estimation and Proposal Preparation
Contributing to the creation of accurate cost estimates for recommended solutions.
Preparing proposals that clearly highlight the value and benefits of the solutions.
Solution Design and Architecture
Designing complex, AWS-based solutions tailored to client needs and delivery capabilities.
Preparing detailed architectures, documentation, and proposals.
Ensuring that solutions are scalable, secure, and compliant with AWS best practices.
Conducting technical alignment of proposed solutions with internal teams.
Technology Leadership
Continuously tracking the latest AWS services, AI developments, and cloud technologies.
Maintaining a deep and confident knowledge of SnapSoft's service offerings.
Obtaining and maintaining all relevant AWS certifications.
Client Relations
Meeting and maintaining contact mainly with clients from the EU region.
Devising custom solutions or optimizing existing solutions according to client needs.
Requirements
Bachelor's degree in Computer Science, Information Technology, or a related field.
Proven experience as a Presales Solution Architect or similar role, with a focus on Artificial Intelligence.
Strong technical background in GenAI.
Deep understanding of AWS services and cloud architecture principles.
Excellent communication and presentation skills.
Ability to translate complex technical concepts into clear and concise language.
Strong problem-solving and analytical skills.
Proactive, solution-focused attitude and the ability to work independently.
Customer-focused mindset.
Business fluent English proficiency.
Nice-to-Have Skills
Experience with Terraform and Terragrunt.
Knowledge of containerization technologies (Docker, Kubernetes/EKS).
Experience with CI/CD pipelines.
Application development experience
Experience with cloud migrations
AWS Professional or Specialty certifications.
Experience with other cloud platforms (Azure, GCP)
Originally posted on Himalayas
Solutions Architect
Indico Data
Solutions Architect
Location: USA, East Coast Preferred. This is a Remote (work from home) position.
Experience Required: 4+ years
About the Position
As a Solution Architect, you will play the lead technical role in customer engagements–helping our customers design and implement successful data extraction workflows and workspaces. Your work as a key part of our Professional Services team will be diverse and impactful.
In your day-to-day, you will act as a trusted advisor for our customers, helping them understand the application of GenAI & ML to their business processes. You’ll liaise with internal teams to solution for novel customer requirements, and when necessary, write custom code to bridge the gap between product capabilities and customer needs.
Solutions Architects are expected to be highly efficient and resourceful when leading customer projects. Each customer presents new challenges and requirements; because of this the ideal candidate is able to adapt quickly to each new situation and manage expectations, while utilizing prior experience to know when it’s OK to diplomatically push back on new requirements and requests. Your experience in the field working closely with customers and building user capabilities rooted in software and/or artificial intelligence will be key to Indico’s product development decisions and the organization’s continued growth.
About You
You are a friendly and enthusiastic person whose dedication to quality, maintainable code is rock solid. This is shown by your ability to think creatively about problems while evaluating what solutions will benefit Indico’s long-term business health through customer satisfaction and maintainability. You’re comfortable leading technical conversions with customers and fielding technical inquiries from prospects. You're invested in having a life outside of work that is bolstered by a fulfilling job, not dominated by it. You look out for others and it shows in your willingness to sit down and hear out whatever needs or feedback other team members have in order to foster constructive conversation about personal and professional growth. Most importantly, you’ll take ownership of your work and have fun with it!
Responsibilities:
- Collaborate with qualified prospects and customers to design solutions for their business challenges using Indico’s workflows and workspaces products.
- Work with customers to capture project scope, requirements, resources, and success criteria.
- Provide technical leadership for pilots and projects; taking ownership of custom development, Discriminative model and Generative prompt development, ground truth testing, and system integrations with customer IT.
- Partner closely with other teams at Indico–Product, Engineering, R&D, Customer Success, and Sames–to productionalize customer use cases, productize use case customizations, and advocate for customer needs and feedback.
- Support customer and partner enablement through product and technical expertise.
Requirements:
- 4+ years experience in a customer-facing or business-stakeholder-facing software development or professional services role.
- Comfortable engaging with and presenting to both technical and non-technical audiences.
- Highly proficient in Python; experience with asyncio, uv/poetry, dataclasses, and typing preferred.
- Experience with Python linting, type checking, formatting, and unit/regression testing.
- Experience with Git/Github, CI/CD, and working from the command-line.
- Familiarity with drafting solution design documents, data schemas, and JSON schemas.
- Familiarity with system integrations patterns and best practices–synchronous polling, asynchronous event queues, and webhooks.
- Attentive to data/code security and privacy controls in HIPAA- and PII-sensitive contexts.
- Ability to build trusting relationships with customers, prospects, and partners.
- Self-directed, independent, proactive, and collaborative team member.
Bonus:
- Undergraduate degree in Computer Science or other technical certification.
- Familiarity with common AI/ML concepts–Accuracy, Precision, Recall, Training, and Prompting.
- Experience with GenAI/LLM tools, including Claude, Gemini, or GPT.
- Experience with AWS Lambda, Kubernetes, or deploying Celery services.
- Experience with GraphQL or REST APIs.
- Experience with ETL processes, data normalization/transformation, and process automation.
- Familiarity with Docker/Podman and containerization.
- Familiarity with the Insurance industry–including underwriting and claims.
Originally posted on Himalayas
Solutions Architect - Retail, Consumer Goods, Travel & Hospitality
Databricks
FEQ327R526
Solutions Architect (L5)
The Role
As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain.
The Impact You Will Have
- Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
- Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
- Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
- Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
- Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain
- Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs
- Influence product direction by providing structured feedback on customer requirements and competitive gaps
What We Look For
- 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
- Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills
- Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
- Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
- Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis
- Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
- Track record of driving platform adoption and consumption growth within accounts
- Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
Nice to Have:
- Databricks certifications (Data Engineer, ML, Platform)
- Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against
- Background in a data/AI company or cloud provider
- Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)
Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Originally posted on Himalayas