Senior GenAI Data Scientist — Enterprise AI Agents

Amazon Web Services (AWS)

Atlanta (GA)

On-site

USD 159,000 - 215,000

Full time

3 days ago

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Job summary

Amazon Web Services, Inc. seeks a Senior Generative AI Data Scientist for NAMER Enterprise customers. You will translate business challenges into data science solutions, design GenAI workflows, and guide exec-level engagements to accelerate AWS AI/ML adoption.

You will prototype, evaluate, and deploy GenAI applications using Bedrock, LangChain, and related tools, collaborating with cross-functional teams to deliver enterprise-ready results.

Qualifications

5+ years of data querying languages (e.g. SQL), scripting (e.g. Python) or statistical software experience.
4+ years of data scientist experience.
5+ years of end-to-end architecture, design, deployment for GenAI/ML platforms.
3+ years working with large language models (LLMs) and model evaluation.
Experience designing and implementing ML/AI solutions for enterprise customers.

Responsibilities

Serve as SME for NAMER Enterprise customers to design GenAI solutions leveraging AWS Bedrock.
Define, design, and deploy ML models, agentic workflows, and GenAI apps.
Engage with senior engineers, data scientists, and executives to influence architecture decisions.
Lead deep dives, whiteboard sessions, and customer briefings on GenAI adoption patterns.

Skills

Data science

Customer facing

Technical leadership

Education

Master's degree or above in quantitative field

Tools

SageMaker

Amazon Bedrock

AgentCore

LangChain

LangGraph

CrewAI

Kubernetes

Docker

Job description

You will prototype, evaluate, and deploy GenAI applications using Bedrock, LangChain, and related tools, collaborating with cross-functional teams to deliver enterprise-ready results.

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