Sr. GenAI Specialist PSA , Solutions Architecture

## 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. ## Requirements - 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 ## Nice to Have - 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 ## Benefits - 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. - 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. - 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. ## About the Team - About 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.