Agentic AI Data Scientist - Hybrid (2 days in-office)

Hewlett Packard Enterprise Company

Friday Harbor (WA)

Hybrid

USD 120,000 - 190,000

Full time

3 days ago
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Job summary

Hewlett Packard Enterprise seeks a Data Scientist - Agentic AI to design and operationalize agentic workflows powering Marvis, our next‑generation AI assistant for network operations. Working at the intersection of data science, GenAI, and production engineering, you will build reasoning pipelines, tool-calling patterns, and MCP server integrations.

The role requires strong Python production experience, knowledge of LangGraph or LangChain, and the ability to deploy in Kubernetes with robust

Qualifications

  • Experience building production ML/AI systems.
  • 4–7 years of experience with generative AI and LLM-based applications.
  • Proficient Python developer with production codebases.

Responsibilities

  • Design, implement, and iterate on agentic workflows using LangGraph and ReACT loops.
  • Develop and maintain MCP servers and skills, including tool schemas and lifecycle.
  • Integrate and optimize LLM capabilities at production scale with structured outputs.
  • Build and refine retrieval/memory services and RAG pipelines.
  • Design evaluation frameworks and run A/B tests for agentic systems.
  • Collaborate with domain experts to formalize problems as agentic workflows.
  • Develop data analysis and transformation logic in sandboxed environments.
  • Deploy and operate containerized services in Kubernetes; participate in CI/CD.
  • Own observability with tracing, logging, and cost tracking for reliability.

Skills

Agentic AI
GenAI
LLM design patterns
Python production code

Education

Bachelor's/Master's/PhD in CS/Math/Stats
Advanced degree in related quantitative field

Tools

LangGraph
LangChain
MCP protocol
Kubernetes
CI/CD
OpenSearch

Job description

Hewlett Packard Enterprise seeks a Data Scientist - Agentic AI to design and operationalize agentic workflows powering Marvis, our next‑generation AI assistant for network operations. Working at the intersection of data science, GenAI, and production engineering, you will build reasoning pipelines, tool-calling patterns, and MCP server integrations.

The role requires strong Python production experience, knowledge of LangGraph or LangChain, and the ability to deploy in Kubernetes with robust

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