About the role
Amazon Web Services (AWS) is leading the next phase of AI adoption and is seeking a hands-on Sr. Specialist Solutions Architect (SSA) focused on Generative AI. In this role, you will work directly with enterprise customers across industries to help them turn GenAI ambition into production-ready solutions that deliver measurable business outcomes.<br/>AWS Specialist Solutions Architects are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, you will work with customers who have complex challenges that require expert-level knowledge to solve — crafting scalable, flexible, and resilient GenAI architectures that address those challenges.<br/>This role focuses on converting AI ambition into programs that can be delivered, operated, and scaled in production environments. You must be comfortable going deep on model selection, fine-tuning strategies, RAG architectures, agentic workflows, and MLOps — and equally comfortable presenting technical strategies to C-level executives.<br/>We are looking for someone who doesn't just talk about GenAI, but has built and shipped GenAI solutions in real-world settings.<br/><br/>Key job responsibilities<br/>- Technical Advisory & Architecture: Build technical relationships with enterprise customers as their trusted advisor on GenAI/ML adoption, designing cloud-native architectures for LLM-powered applications, agentic systems, and multi-modal AI solutions.<br/>- Hands-on Implementation Guidance: Guide customers through end-to-end GenAI solution development — from proof-of-concept to production deployment — including model selection, prompt engineering, RAG implementation, fine-tuning, evaluation, and inference optimization.<br/>- Solution Design: Create scalable reference architectures for common GenAI patterns including conversational AI, intelligent document processing, code generation, knowledge assistants, and autonomous agents.<br/>- Agentic AI: Help customers design and deploy LLM-powered agents and multi-agent orchestration systems using AWS services such as Amazon Bedrock Agents, AgentCore, and custom agent frameworks.<br/>- Customer Engagement: Interact at the CxO/VP level as well as with developers and ML engineers, earning trust through technical depth and thought leadership. Secure lighthouse customers and drive adoption of AWS GenAI services.<br/>- Voice of the Customer: Capture customer feedback and advocate for roadmap enhancements, working backwards from customer needs to influence AWS GenAI/ML product direction.<br/>- Content & Enablement: Create and share best practices, technical content, and reference architectures (whitepapers, code samples, blog posts, workshops) to evangelize GenAI on AWS both internally and externally.<br/>- Field Enablement: Guide and support the broader SA community on GenAI best practices, producing enablement materials to help field teams integrate GenAI solutions into customer architectures.<br/>- Cross-functional Collaboration: Work closely with account teams, product teams, Professional Services, and partners to deliver comprehensive GenAI solutions that accelerate customer adoption.<br/>