Senior GenAI Data Scientist — Enterprise AI Architect & Advisor

Amazon; Chicago (IL); On-site; USD 159,000 - 215,000; Full time

Job summary

Amazon AWS is seeking a Senior Generative AI Data Scientist to drive GM and GenAI solutions for NAMER Enterprise customers. You will translate business challenges into data‑science driven AWS architectures, define, design, and deploy ML models and agentic workflows leveraging Bedrock, SageMaker, and related services.

You’ll interact with executives to influence decisions and guide adoption across enterprise accounts.

Qualifications

• 5+ years of data querying languages (e.g. SQL) or scripting languages (e.g. Python) or statistical software (e.g. R, SAS, Matlab).
• 4+ years of data scientist experience.
• Experience with statistical models e.g. multinomial logistic regression.
• Master's degree or above in a quantitative field.
• 5+ years of end-to-end technical architecture, design, deployment for Generative AI/ML platforms.
• 3+ years experience with LLM architectures and evaluation.

Responsibilities

• Engage NAMER Enterprise customers to understand business and technical needs; design solutions using AWS AI/ML services.
• Implement and deploy state‑of‑the‑art ML and Generative AI solutions; build prototypes and PoCs.
• Collaborate with Data Scientists, SAs, Sales, and AI/ML service teams to drive adoption and revenue.

Skills

SQL

Python

R

SAS

Matlab

Master's degree

5+ years experience

LLM

Education

Master's degree in quantitative field

Tools

SageMaker

Bedrock

LangChain

LangGraph

CrewAI

Docker

Kubernetes

Job description

Amazon AWS is seeking a Senior Generative AI Data Scientist to drive GM and GenAI solutions for NAMER Enterprise customers. You will translate business challenges into data‑science driven AWS architectures, define, design, and deploy ML models and agentic workflows leveraging Bedrock, SageMaker, and related services.

You’ll interact with executives to influence decisions and guide adoption across enterprise accounts.