Sr. GenAI Specialist PSA , Solutions Architecture

About the role

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.

Responsibilities

• 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.
• 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.
• Enable partners to productize LLM-powered agents using Amazon Bedrock Agents, AgentCore, and custom frameworks.
• Engage partner leadership and technical teams, drive AWS Competency attainment, and develop lighthouse partners.
• Advocate for partner ecosystem needs to influence AWS GenAI product roadmap.
• Guide partners in scaling GenAI practices — skilling, methodology, and GTM enablement.
• 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.

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