Senior GenAI Data Scientist — Enterprise AI Agents

Amazon Web Services (AWS); Austin (TX); On-site; USD 159,000 - 215,000; Full time

Job summary

Amazon Web Services, Inc. is seeking a Senior Generative AI Data Scientist to lead enterprise GenAI initiatives in NAMER, focusing on Bedrock-based solutions and agentic workflows. You will bridge data science, ML engineering, and executive engagement to drive adoption of AWS GenAI services.

The role emphasizes hands-on ML, model evaluation, and scalable architectures, with collaboration across customers, data scientists, and product teams to deliver production-ready AI capabilities.

Qualifications

• 5+ years of experience with SQL, scripting (Python) or statistical software.
• 4+ years of data science experience.
• Master’s degree or higher in a quantitative field.
• 5+ years of end-to-end architecture for GenAI/ML platforms.

Responsibilities

• Design and implement Generative AI solutions for NAMER enterprise customers.
• Translate business problems into data science-driven GenAI solutions.
• Lead deep technical discussions with executives and data science teams.
• Develop prototypes, PoCs, and agentic workflows leveraging Bedrock and related services.
• Collaborate with AWS service teams to influence product improvements.

Skills

SQL

Python

Statistics

Machine Learning

Education

Master’s degree or higher in a quantitative field

Tools

SageMaker

Bedrock

LangChain

Kubernetes

Docker

OpenSearch

Job description

Amazon Web Services, Inc. is seeking a Senior Generative AI Data Scientist to lead enterprise GenAI initiatives in NAMER, focusing on Bedrock-based solutions and agentic workflows. You will bridge data science, ML engineering, and executive engagement to drive adoption of AWS GenAI services.

The role emphasizes hands-on ML, model evaluation, and scalable architectures, with collaboration across customers, data scientists, and product teams to deliver production-ready AI capabilities.