Senior GenAI Data Scientist for Enterprise AI Solutions

Amazon; Arlington (VA); Hybrid; USD 159,000 - 215,000; Full time

Benefits offered by this job

Health insurance

RSUs

Comprehensive benefits

Job summary

Amazon Web Services is seeking a Senior Generative AI Data Scientist to partner with NAMER Enterprise teams. You will translate business challenges into data science driven GenAI and ML solutions, deploy agentic workflows, and engage executives to shape strategic AI initiatives on AWS.

Strong communication and hands-on ML engineering are essential for impact. You will work with Bedrock, SageMaker, and related tools to prototype, evaluate, and scale GenAI applications while leading technical

Qualifications

• 5+ years of data querying languages (e.g. SQL) experience.
• 4+ years of data scientist experience with ML/GenAI.
• Experience with statistical models and ML tooling.
• Master's degree or higher in a quantitative field is required.
• 5+ years in end-to-end architecture, design, deployment for GenAI/ML platforms.

Responsibilities

• Design and implement GenAI solutions leveraging AWS Bedrock and related services.
• Interact with enterprise customers to accelerate AI/ML adoption and build prototypes.
• Collaborate with data scientists, SAs, sales, and AI/ML teams to drive revenue.
• Lead technical deep dives and whiteboard sessions with senior leaders.
• Develop internal GenAI knowledge, provide customer-ready enablement content.
• Bridge research findings to production-ready AWS GenAI solutions.

Skills

SQL

Python

Data analysis

Statistical modeling

ML engineering

R

SAS

Prompt engineering

Education

Master's degree or above in a quantitative field

Tools

SageMaker

Amazon Bedrock

LangChain

LangGraph

CrewAI

LangChain/LLM stacks

Open source LLM tools

Job description

Amazon Web Services is seeking a Senior Generative AI Data Scientist to partner with NAMER Enterprise teams. You will translate business challenges into data science driven GenAI and ML solutions, deploy agentic workflows, and engage executives to shape strategic AI initiatives on AWS.

Strong communication and hands-on ML engineering are essential for impact. You will work with Bedrock, SageMaker, and related tools to prototype, evaluate, and scale GenAI applications while leading technical