Sr. GenAI Specialist PSA , Solutions Architecture

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.