AmazonPosted 4mo ago

Senior Solutions Architect, GovTech ISVs

Senior Solutions Architect, GovTech ISVs at Amazon scores 69 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

US, TX, Austinseniorfull-time$154k-$208k

AI in this role

claudebedrockcursorclaude-code

ragai-safety

Across state and local government, the software that powers everyday public services is being rebuilt around generative AI and agentic systems. AWS is hiring a Senior Solutions Architect (SA) to help Independent Software Vendors (ISVs) reimagine their products on AWS.

You will work directly with the leadership and engineering teams of ISVs whose software runs 911 dispatch, digital evidence, court case management, permitting and licensing, and benefits eligibility.

Your customer is a commercial software company. Their customer is a government agency. Their end user is a constituent.

This is an advisory role, focused on generative AI, agentic architectures, and the data foundations that make both work in regulated environments. You own the technical relationship with a portfolio of GovTech ISVs, and you lead the architectural deep dives that shape what they build. It is hands-on in a specific way. You will build prototypes and reference implementations, demonstrate that a pattern works before an ISV commits to it, and unblock their engineers when they are stuck. You will NOT ship production features in their product.

The work starts with discovery. You ask about the platform, the constraints, and the requirements the ISV's government buyers impose, and you challenge the assumptions before you design to it. Much of the work is foundational: compute selection, well-modeled data across relational, NoSQL, and analytics stores, networking, identity, and cost at scale. The AI capabilities your customers want to ship are only as good as the platforms underneath them, so you will spend time on those primitives. You are effective when your ISV ships a better product on AWS.

Ability to travel up to 30%.

Key job responsibilities
- Guide ISV architecture decisions across compute, data, networking, identity, and databases. Advise on the trade-offs and prescribe a solution.
- Run discovery with ISV engineering and product teams to understand their platform, their constraints, and their customers' requirements before recommending an architecture path.
- Lead generative AI work on Amazon Bedrock: agentic patterns, retrieval-augmented generation, guardrails, evaluation, and responsible AI practices that hold up in a public sector procurement review.
- Help ISVs turn AI prototypes into production systems that meet the bar their public sector buyers require.
- Help ISVs modernize legacy platforms onto AWS with phased strategies such as strangler fig, replatforming, and domain decomposition.
- Explain how compliance shapes architecture in regulated state and local environments, including CJIS, StateRAMP, FedRAMP, HIPAA, and data residency.
- Communicate architecture decisions to ISV CTOs, VPs of Engineering, and government CIOs. Structure the trade-off discussion, defend the recommendation, and adjust depth to the audience.
- Help ISVs adopt AI-assisted development tools such as Kiro and Amazon Q Developer to accelerate their own engineering teams.

About the team
The GovTech Solutions Architecture team's mission is to be the best technology enabler for the ISVs who build software for state and local government and public safety. The work is technical, but the impact is human. The applications our customers ship affect how a citizen renews a license, how an investigator works a case, how a first responder gets dispatched. We take that seriously, and we look for teammates who do too.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve.

Basic qualifications

- 8+ years of design, implementation, or consulting in applications and infrastructures experience
- 5+ years of cloud based solution (AWS or equivalent), system, network and operating system experience, or AWS Professional level certification
- Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
- Experience contributing to engineering discussions around technology decisions and strategy related to a product
- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
- Experience with designing and building applications using container and serverless technologies

Preferred qualifications

- Experience working with enterprise software companies
- Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
- Demonstrated use of AI-assisted development tools (Kiro, Cursor, Claude Code, or similar) to scale your own technical output.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, TX, Austin - 153,600.00 - 207,800.00 USD annually
USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually

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Skills and AI tools this role asks for

RagAI SafetyClaudeBedrockCursorClaude Code

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
How do you think about the risk of an AI system in this kind of role failing silently?
What are the limits of Claude that you've run into, and how did you work around them?
What's a project where you used Bedrock hands-on?
Walk me through how you've used Cursor in your day-to-day work.

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List these exact terms on your resume: Rag, AI Safety, Claude, Bedrock, and Cursor. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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