Senior GenAI Data Scientist: Agentic AI Solutions

Amazon Web Services (AWS); Seattle (WA); On-site; USD 159,000 - 215,000; Full time

Benefits offered by this job

RSUs

Health insurance

Paid time off

Parental leave

Job summary

Amazon Web Services, Inc. seeks a Senior Generative AI Data Scientist to design and deploy GenAI/ML solutions for NAMER enterprise customers.

You will translate business challenges into data science-driven systems, build prototype agentic workflows, and engage executives to guide adoption and best practices using Bedrock, SageMaker, and related AWS services. You will lead technical deep dives, stay current with AI research, and mentor teams while ensuring security and compliance within the AWS

Qualifications

• Master's degree or higher in statistics, mathematics, data science, or related quantitative field.
• 5+ years of data querying languages (e.g., SQL) or statistical software experience.
• 4+ years as a data scientist with end-to-end ML/GenAI project experience.

Responsibilities

• Serve as SME for NAMER Enterprise GenAI solutions using AWS Bedrock and AI/ML services.
• Design, deploy, and evaluate LLM-powered agents and agentic workflows.
• Lead customer engagements with senior executives to influence decisions and adoption patterns.
• Develop prototypes, PoCs, and demonstrations for GenAI deployments.
• Collaborate with Data Scientists, SAs, and service teams to accelerate customer adoption and revenue.
• Provide feedback to AWS product teams and build internal GenAI knowledge communities.

Skills

SQL

Python

Data science

LLM architectures

Generative AI

Statistics

ML engineering

Executive communication

Cloud computing

Education

Master's degree in quantitative field

Tools

SageMaker

Bedrock

AgentCore

Docker

Kubernetes

LangChain

LangGraph

CrewAI

Job description

Amazon Web Services, Inc. seeks a Senior Generative AI Data Scientist to design and deploy GenAI/ML solutions for NAMER enterprise customers.

You will translate business challenges into data science-driven systems, build prototype agentic workflows, and engage executives to guide adoption and best practices using Bedrock, SageMaker, and related AWS services. You will lead technical deep dives, stay current with AI research, and mentor teams while ensuring security and compliance within the AWS