Senior GenAI Data Scientist - Enterprise AI Agents Lead

Amazon; Seattle (WA); On-site; USD 159,000 - 215,000; Full time

Job summary

Amazon in Seattle seeks a Senior Generative AI Data Scientist to lead enterprise GenAI/ML engagements, translate business challenges into data-driven solutions using AWS Bedrock, SageMaker, and related services.

You will collaborate with senior data scientists, ML engineers, and executives to design, prototype, and evaluate agentic AI applications, influencing architecture and best practices across NAMER Enterprise customers.

Qualifications

• 5+ years of data querying languages (SQL) and scripting languages (Python) experience.
• 4+ years of data scientist experience.
• Master's degree or above in a quantitative field.
• 5+ years of experience in end to end technical architecture for GenAI/ML platforms.

Responsibilities

• Work with NAMER Enterprise customers' development and data science teams to design solutions using AWS AI/ML services.
• Deploy state-of-the-art ML and GenAI solutions; build prototypes and PoCs for customer adoption.

Skills

SQL

Python

R

SAS

Matlab

Data science

ML engineering

Education

Master's degree in quantitative field

Tools

SageMaker

Bedrock

AgentCore

LangChain

LangGraph

CrewAI

Job description

Amazon in Seattle seeks a Senior Generative AI Data Scientist to lead enterprise GenAI/ML engagements, translate business challenges into data-driven solutions using AWS Bedrock, SageMaker, and related services.

You will collaborate with senior data scientists, ML engineers, and executives to design, prototype, and evaluate agentic AI applications, influencing architecture and best practices across NAMER Enterprise customers.