Senior GenAI Data Scientist - GenAI & AI Agents, AGS NAMER Specialist Team

Amazon Web Services (AWS) is a cloud platform that helps customers innovate and expand through its broad suite of cloud, AI, and machine learning services. The Senior Generative AI Data Scientist will advise enterprise customers, design and deploy GenAI solutions using AWS services, and build agentic applications, prototypes, and proofs of concept. The role also leads technical engagements, evangelizes AWS GenAI capabilities, provides product feedback, and develops internal enablement resources.

Responsibilities:

• Working with NAMER Enterprise customers' development and data science teams to deeply understand their business and technical needs. Design and implement solutions that make the best use of the AWS cloud platform and AWS AI/ML services including SageMaker, Amazon Bedrock, Amazon AgentCore, and other AI/ML services
• Customer Advisor — Implement and deploy state-of-the-art machine learning and Generative AI solutions. Build prototypes, PoCs, and explore new solutions. Interact closely with enterprise customers to accelerate their AI/ML adoption
• Partner with Data Scientists, SAs, Sales, Business Development, and the AI/ML Service teams to accelerate customer adoption and revenue attainment in NAMER for Amazon Bedrock, SageMaker, and related services that support GenAI use cases
• Thought Leadership – Evangelize AWS GenAI services and share best practices through forums such as AWS blogs, whitepapers, reference architectures, and public-speaking events such as AWS Summit, AWS re:Invent, etc
• Act as a technical liaison between customers and the Amazon Bedrock or other service teams to provide customer-driven product improvement feedback
• Develop and support an AWS internal community of GenAI-related subject matter experts in the AMERICAS. Create field enablement materials for the broader technical population, to help them understand how to integrate AWS GenAI solutions into customer architectures