Amazon
Senior GenAI Data Scientist - GenAI & AI Agents, AGS NAMER Specialist Team
$159K–$248K
Austin, TX +8 · Senior · Full-time · Posted Sep 8, 2026
- Location
- Austin, TX
Arlington, VA
Seattle, WA
Atlanta, GA
New York, NY
Irvine, CA
East Palo Alto, CA
Chicago, IL
Dallas, TX - Experience
- 5+ years in data querying/scripting/statistical software; 4+ years as a data scientist; 5+ years in GenAI/ML platform and application architecture, design, deployment, and operations; 3+ years with LLM technologies.
- Education
- Master's degree or above in a quantitative field.
About the job
Advises enterprise customers on designing, building, and deploying GenAI and machine-learning solutions on AWS, with a focus on Amazon Bedrock and agentic applications.
What you'll do
- Understand customer needs and design, implement, and deploy AWS AI/ML and GenAI solutions, prototypes, and proofs of concept.
- Advise customer technical and executive leaders, deliver technical briefings, and promote AWS GenAI best practices.
- Collaborate with AWS teams and relay customer feedback to service teams; create field enablement and thought-leadership materials.
What they ask for
- 5+ years of experience with data querying or scripting languages, or statistical/mathematical software.
- 4+ years of data scientist experience and experience with statistical models.
- Master's degree or above in a quantitative field.
- 5+ years in end-to-end technical architecture, design, deployment, and operations for GenAI/ML platforms and applications; 3+ years working with LLM technologies, including architectures and evaluation.
Nice to have
- Experience with data visualization, data pipelines, or leading and mentoring a data science team.
- Experience with Kubernetes, Docker, open-source LLM frameworks, agent orchestration, or AWS technologies such as SageMaker and OpenSearch.
Pay
USD 183,000.00 - 247,600.00 annually (base salary); USD 159,200.00 - 215,300.00 annually (base salary); USD 175,100.00 - 236,900.00 annually (base salary)
Tools
Amazon Bedrock, Amazon AgentCore, SageMaker, Strands Agents, Bedrock Agents, LangChain, LangGraph, CrewAI
AI focus
Designs and deploys GenAI and ML solutions, including LLM evaluation and fine-tuning, RAG, prompt engineering, and agentic workflows; applies current research to production-ready customer systems.
Model-written summary · the original posting is authoritative