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