Agentic AI Data Scientist - Production ML & LangGraph

Hewlett Packard Enterprise; San Jose (CA); On-site; USD 155,000 - 315,000; Full time

Job summary

Hewlett Packard Enterprise is seeking a Data Scientist – Agentic AI to design and operationalize agentic AI workflows powering Marvis. You will work at the intersection of data science, generative AI, and production engineering to build scalable, observable AI systems in a cloud-native environment.

The role requires deep hands-on experience with LangGraph, LLM-based applications, and production-grade Python.

Qualifications

• Master's or PhD in CS, data science, math, or related field.
• 4–6 years building production ML/AI systems; 1–2 years with generative AI/LLM apps.

Responsibilities

• Design and iterate agentic workflows with LangGraph.
• Develop and maintain MCP servers and skills with tool schemas.
• Integrate production-scale LLM capabilities with robust outputs.
• Build retrieval and memory services for agentic systems.
• Design evaluation frameworks and run A/B tests.
• Collaborate with network engineers and product managers.
• Develop data transformation logic in sandboxed environments.
• Deploy containerised services in Kubernetes and monitor.

Skills

Agentic AI

GenAI concepts

Python development

Production ML systems

LLM integration

Education

Master's or PhD in CS / data science / math

Tools

LangGraph

LangChain

Claude Agent SDK

MCP servers

Kubernetes

FastAPI

Prometheus

Job description

Hewlett Packard Enterprise is seeking a Data Scientist – Agentic AI to design and operationalize agentic AI workflows powering Marvis. You will work at the intersection of data science, generative AI, and production engineering to build scalable, observable AI systems in a cloud-native environment.

The role requires deep hands-on experience with LangGraph, LLM-based applications, and production-grade Python.