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AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges.

This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems.
Specialist SAs play a critical role in capturing customer feedback, advocating for roadmap enhancements, and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field.
GenAI Specialist Solutions Architects combine technical skills in AIML, business acumen, and technical sales skills. They are focused on supporting customers throughout the engagement lifecycle and work closely with the teams that support implementation including AWS Sellers, Professional Services and Partners

SSAs unblock customers and help them get to production faster. Joining AWS as a Specialist Solutions Architect will give you opportunities to work on interesting and challenging problems, collaborate with a group of skilled practitioners focused on delivering outcomes for our customers, and be part of a diverse and inclusive community committed to being Earth's Best Employer.
SSAs help build and scale go-to-market plans that turn AWS ideas into multi-billion-dollar businesses in State & Local Government and Education Industry. Our teams include specialist sales, and specialist solutions architecture, working together to provide customer-obsessed solutions that help people run their businesses more effectively

We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.
As a Specialist Solution Architect on the GenAI team, you will have the opportunity to work across key GenAI-related services like Amazon Bedrock, Amazon Kiro, Amazon Sagemaker, Amazon Quick to develop architecture, proof-of-concepts, prototypes, and demos to help customers build, deploy, and consume GenAI models in production. Your work will have a direct impact on enabling customer builds and leveraging GenAI models, GenAI AWS revenue, and developing our services and informing product roadmaps via market and customer signals.
This position can be based in Washington DC, Seattle or Dallas Fort Worth

Key job responsibilities
-Serve as a trusted technical advisor on Generative AI solutions (Amazon Bedrock, Amazon Q, SageMaker, and related AI/ML services) for strategic Education, State & Local Government, and GovTech/EdTech customers
-Lead architecture design sessions, technical deep-dives, and proof-of-concept engagements for complex GenAI opportunities
-Provide expert-level guidance on GenAI architectures, model selection, fine-tuning strategies, RAG patterns, and responsible AI implementation
Partner with account teams on strategic account planning, contributing GenAI domain expertise to accelerate the sales cycle and improve solution accuracy
-Present at AWS Summits, re:Invent, and industry conferences on GenAI topics relevant to public sector customers
-Create and publish external-facing content (blogs, whitepapers, demos, workshops, GitHub repos) showcasing GenAI best practices for EDU/SLG/XTECH use cases
-Deliver internal enablement sessions aligned with EDU/SLG/XTECH customer requirements and organizational tech goals
-Build the team's external credibility and visibility as recognized EDU/SLG GenAI domain experts through internal enablement sessions and mentoring field members
-Channel customer requirements, pain points, and feature requests to AWS service teams (Bedrock, SageMaker, Amazon Q); advocate for public sector-specific capabilities and compliance requirements
-Partner with service teams on beta programs, roadmap reviews, and closed-loop feedback to ensure EDU/SLG customer needs shape product development
-Contribute to internal knowledge bases, newsletters, and Highspot content that scale specialist impact across the organization
-Obtain SA Associate certification within 6 months and SA Pro certification within 18 months (role requirements)
-Stay current on rapidly evolving GenAI services, emerging architectures, and competitive landscape
About the team
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.