Senior GenAI Data Scientist — AI Agents & GenAI Solutions

Amazon Web Services (AWS); East Palo Alto (CA); On-site; USD 183,000 - 248,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Web Services, Inc. in NAMER seeks a Senior Generative AI Data Scientist to lead enterprise GenAI solution design and deployment using AWS Bedrock.

You translate business challenges into data science-driven solutions and guide executive stakeholders on technical decisions. You will build prototypes, PoCs, and agentic workflows, collaborating with data scientists, SAs, Sales, and product teams to accelerate GenAI adoption at scale while upholding security and best practices across AWS

Qualifications

• 5+ years of data querying languages (SQL) and data science experience.
• 4+ years as a data scientist with ML/GenAI exposure.
• Master's degree or above in a quantitative field.
• 5+ years in end-to-end architecture for GenAI/ML platforms.
• 3+ years with large language models (LLMs) and model evaluation.
• Experience designing ML/AI/Deep Learning solutions.
• Background across software dev, cloud, security, and analytics.

Responsibilities

• Design and deploy GenAI solutions leveraging AWS Bedrock for NAMER enterprise customers.
• Lead technical deep dives with senior data scientists and executives.
• Prototype PoCs, prototypes, and agentic workflows using LLM-powered agents.
• Advise customers on architectural trade-offs, security and best practices.
• Collaborate with data scientists, SAs, sales, and service teams to drive adoption.
• Create field enablement materials and share AWS GenAI expertise internally.

Skills

SQL

Python

Data science

Statistical modeling

LLM architectures

End-to-end architecture

Machine Learning

GenAI platforms

Education

Master's degree in Statistics/CS/Math

Tools

SageMaker

Bedrock

AgentCore

LangChain

LangGraph

CrewAI

Docker

Kubernetes

Job description

Amazon Web Services, Inc. in NAMER seeks a Senior Generative AI Data Scientist to lead enterprise GenAI solution design and deployment using AWS Bedrock.

You translate business challenges into data science-driven solutions and guide executive stakeholders on technical decisions. You will build prototypes, PoCs, and agentic workflows, collaborating with data scientists, SAs, Sales, and product teams to accelerate GenAI adoption at scale while upholding security and best practices across AWS