Sr. GenAI Specialist PSA , Solutions Architecture

Application deadline: Nov 8, 2026

Amazon Web Services (AWS) is leading the next phase of AI adoption and is seeking a hands-on Sr. Partner Solutions Architect (PSA) focused on Generative AI. In this role, you will work directly with AWS Partners — ISVs, SIs, and consulting firms — to help them build, differentiate, and scale GenAI solutions on AWS that drive measurable customer outcomes and accelerate partner-led revenue growth.

AWS Partner Solutions Architects are technologists with deep domain-specific expertise who operate at the intersection of partner strategy and technical depth. As part of the AWS partner organization, you will engage with partners who are building GenAI practices and products — guiding them on scalable, production-ready architectures while enabling them to independently deliver GenAI solutions to their end customers.

This role focuses on converting partner GenAI ambition into repeatable, scalable offerings that can be built once and delivered to many customers. You must be comfortable going deep on model selection, fine-tuning strategies, RAG architectures, agentic workflows, and MLOps — and equally comfortable enabling partner technical teams, co-architecting joint solutions, and presenting technical strategies to partner leadership and C-level executives.

You will help partners achieve AWS competencies and service validations, develop joint go-to-market motions, and create reusable assets (reference architectures, Proofs of Concept, and delivery accelerators) that multiply partner impact across their customer base. You think in terms of leverage — enabling one partner to serve hundreds of customers — rather than solving one customer problem at a time.

We are looking for someone who doesn't just talk about GenAI, but has built and shipped GenAI solutions in real-world settings — and can transfer that expertise to partners so they can do the same at scale.

Key job responsibilities

Technical Advisory & Partner Enablement: Build deep technical relationships with AWS Partners (ISVs, SIs, consulting firms) as their trusted GenAI/ML advisor — guiding them in designing cloud-native architectures for LLM-powered applications, agentic systems, and multi-modal AI solutions they can repeatedly deliver to customers.

Hands-on Enablement: Co-build with partner engineering teams through end-to-end GenAI development — model selection, RAG implementation, fine-tuning, prompt engineering, and inference optimization — accelerating their time-to-market.

Scalable Offerings: Create reusable reference architectures and delivery accelerators that partners can package into repeatable GenAI offerings across conversational AI, document processing, knowledge assistants, and autonomous agents.

Agentic AI: Enable partners to productize LLM-powered agents using Amazon Bedrock Agents, AgentCore, and custom frameworks.

Partner Engagement: Engage partner leadership and technical teams, drive AWS Competency attainment, and develop lighthouse partners.

Voice of Partner: Advocate for partner ecosystem needs to influence AWS GenAI product roadmap.

Practice Development: Guide partners in scaling GenAI practices — skilling, methodology, and GTM enablement.

Cross-functional Collaboration: Work closely with Partner Development Managers, Partner Sales Managers, AWS service teams, and the broader SA community to accelerate partner-led GenAI adoption at scale.

About the team

About AWS

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

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

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 in the cloud.

Basic Qualifications

• 7+ years of design/implementation/operations/consulting with distributed applications experience
• Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership
• 5+ years customer-facing experience building production AI/ML systems
• Hands-on GenAI implementation: LLM integration, RAG (vector databases, semantic search), agentic workflows, prompt engineering, model evaluation, and inference optimization
• Experience with AWS AI/ML services (Amazon Bedrock, SageMaker, AgentCore) or equivalent cloud AI platforms

Preferred Qualifications

• Production GenAI track record — Demonstrated experience shipping GenAI/LLM applications to production at scale, not just POC/prototype stage.
• Agentic AI depth — building multi-step, tool-using agents with orchestration frameworks (Bedrock Agents, Strands Agents SDK, LangChain, or custom)
• MLOps/LLMOps — CI/CD pipelines, model versioning, monitoring, and automated evaluation
• Vector database expertise (OpenSearch Serverless, pgvector, Pinecone)
• Multi-modal AI — Experience working with vision-language models, image generation, or audio/video understanding models.
• Security & governance — guardrails, responsible AI, compliance in enterprise settings
• AWS Certifications (ML Specialty, SA Professional) preferred
• 10+ years in software engineering, AI/ML, or cloud architecture

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, VA, Herndon - 153,600.00 - 207,800.00 USD annually