Hewlett Packard Enterprise | HPE

Data scientist - Agentic AI

Hewlett Packard Enterprise | HPE
US San Jose, CA, US
Onsite 2026-07-03
Announced salary
$155,500 - $315,000
Low
$116K
Median
$153K
High
$202K
Market in San Jose · BLS OEWS 2025
Estimated net pay
$8,952 - $16,624
/month · 31% withheld
after tax & contributions · Single, no dependents

Job description

Data scientist \- Agentic AI This role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office.**Who We Are:** Hewlett Packard Enterprise is the global edge\-to\-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. **Job Description:** **Data Scientist – Agentic AI** ------------------------------- **The Data Scientist – Agentic AI builds and operationalizes the core agentic workflows that power Marvis, Juniper's next\-generation AI assistant for network operations. Working at the intersection of data science, generative AI, and production engineering, this role is responsible for designing, implementing, and evaluating the reasoning pipelines, tool\-calling patterns, skills, and MCP server integrations that enable Marvis to autonomously diagnose, troubleshoot, and resolve complex networking problems. The ideal candidate combines deep hands\-on experience with LLM\-based agentic frameworks (LangGraph preferred) with the software engineering rigor needed to ship reliable, observable AI systems in a cloud\-native environment.** ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

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