Sr. GenAI Solutions Architect, DoW

Company: Amazon
Location: Arlington
Posted on: April 2, 2026

Job Description:

Application deadline: Apr 6, 2026 Do you like creating innovative generative AI solutions that solve challenging problems? Are you passionate about building GenAI prototypes and architectures using the latest AWS cloud technologies to support defense missions? Amazon Web Services is looking for a talented and technical GenAI Solutions Architect to help accelerate our business supporting defense customers. As a Sr. GenAI Solutions Architect on the DoD Solutions Architect team, you will architect, build, test, and deliver generative AI prototypes and production solutions for our defense customer's missions. This is an excellent opportunity to join Amazon's world class technical teams, working with some of the best and brightest engineers while also developing your skills and furthering your career within one of the most innovative and progressive technology companies. Amazon Web Services (AWS) is looking for experienced and motivated GenAI practitioners who align with our Leadership Principles and possess a unique balance of technical depth in generative AI and strong interpersonal skills. You will partner with customers, AWS Sales and several other AWS teams to craft highly scalable, flexible and resilient GenAI architectures that address defense customer business problems and accelerate the adoption of AWS GenAI services. You will have the opportunity to help shape and execute a strategy to build mind share and broad use of AWS GenAI capabilities within the defense space. The ideal candidate must be self-motivated with a proven track record in building generative AI solutions as an engineer or architect. You should also have a demonstrated ability to think strategically about business, products, and technical challenges in the GenAI space. We are looking for someone who is passionate about: Building scalable, secure, and innovative GenAI prototypes and production solutions using AWS services like Amazon Bedrock, Amazon SageMaker, Amazon Q, and other AWS GenAI capabilities that solve diverse and challenging problems across customers in the defense sector. Hands-on development of GenAI applications leveraging large language models (LLMs), retrieval-augmented generation (RAG), prompt engineering, fine-tuning, and agentic workflows. Architecting end-to-end GenAI solutions from prototype to production, including model selection, infrastructure design, security implementation, and operational excellence. Using out of the box thinking to challenge existing assumptions and design bold GenAI solutions that transform mission outcomes. Optimizing GenAI processes using tools, repeatable solution patterns, infrastructure-as-code, and automation. Having a strong understanding of large scale GenAI architectures and implementation patterns. The ideal candidate will have past experience working as a GenAI engineer or architect, building production GenAI applications. You will enjoy keeping your existing technical skills honed and developing new ones, so you can make strong contributions to in-depth GenAI architecture discussions. You will regularly take part in deep-dive education and design exercises to create truly innovative GenAI solutions built on AWS. This position requires that the candidate selected be a US Citizen and obtain and maintain an active TS/SCI security clearance with polygraph. Key job responsibilities Own the approach (business, organizational, technical) and ultimate success around specific GenAI projects, from prototype development through production deployment. Build functional GenAI prototypes using AWS services (Amazon Bedrock, SageMaker, Lambda, Step Functions, etc.) to demonstrate art-of-the-possible for DoD customers. Architect production-ready GenAI solutions that address security, scalability, cost optimization, and operational requirements for defense environments. Discuss complex defense mission requirements and GenAI technical concepts with executives, line managers, data scientists, and mission operators. Engage with various AWS teams, including GenAI service teams, data & analytics, IoT, business development, marketing, partners and regional professional services organizations during pre and post sales cycle. Ensure customer success in ideating, prototyping, and launching GenAI solutions on the AWS platform. Educate customers on the value proposition of AWS GenAI services and participate in deep business discussions to ensure solutions are designed to capture business value and drive the intended success metrics. Conduct hands-on workshop sessions to build GenAI prototypes and identify GenAI opportunities with our customers considering or already using AWS. Develop and share GenAI reference architectures, implementation patterns, and best practices for enterprises building GenAI solutions. Author or otherwise contribute to AWS customer-facing publications such as whitepapers, blog posts, and technical guides focused on GenAI. Build deep relationships with senior individuals within customers to enable them to be GenAI advocates. Act as a liaison between customers, account teams, services, data scientists, GenAI service teams, and support. Contribute to the creation of best practices, packaged GenAI solutions, white papers, workshops, and reusable code artifacts. - Bachelor's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or Bachelor's degree and 5 years of professional or military experience - 10 years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience - Experience building services using AWS products - Experience with large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), fine-tuning, and agentic workflows. - Proficiency in Python and experience with GenAI frameworks (LangChain, LlamaIndex, etc.) and model APIs. - Experience participating in the sales lifecycle (directly or indirectly) for GenAI solutions. - Experience in leading executive briefings and customer workshops focused on GenAI strategy, use case development, and prototype demonstrations. - Master's degree or above in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science, or PhD - Experience prioritizing competing demands, scoping large efforts, and negotiating timelines - Experience with enterprise-scale infrastructure or development-based cloud programs/projects in a related industry - Experience conveying complex technical concepts to both technical and business audiences - Publications or presentations in recognized GenAI, NLP, or ML journals or conferences. - Hands-on experience architecting and deploying production GenAI solutions in secure or regulated environments. - Deep technical expertise with AWS GenAI services including Amazon Bedrock (Claude, Llama, Titan models), Amazon SageMaker JumpStart, Amazon Q, and related AWS services (Lambda, Step Functions, ECS/EKS, API Gateway). - Experience with GenAI security patterns, responsible AI practices, and model governance. - Ability to collaborate with global/enterprise account sales and delivery teams to drive adoption of GenAI Solutions into top accounts. - Ability to think strategically about business, product, and technical problems in the GenAI space and develop strategic, data-driven approaches. 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, CO, Denver - 153,600.00 - 207,800.00 USD annually USA, NC, Raleigh - 153,600.00 - 207,800.00 USD annually USA, VA, Arlington - 153,600.00 - 207,800.00 USD annually USA, VA, Herndon - 153,600.00 - 207,800.00 USD annually

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