Hybrid Agentic AI Cloud Engineer

Hewlett Packard Enterprise Company; Friday Harbor (WA); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Hewlett Packard Enterprise is seeking an Agentic AI Cloud Development Engineer to design and operate agentic workflows powering Marvis, HPE's AI assistant for networks. You will bridge data science, GenAI, and production engineering to ensure reliable, observable AI systems at cloud scale.

The role emphasizes LangGraph-based workflows, MCP server tooling, streaming data efforts, and containerized deployments within a hybrid setup requiring office presence about two days per week.

Qualifications

• Bachelor's or Master's degree in computer science or closely related field.
• Typically 2–4 years building production ML/AI systems including generative AI experiences.

Responsibilities

• Design, implement, and iterate on agentic workflows using LangGraph and MCP servers.
• Develop and maintain MCP servers and skills, including tool schemas and lifecycle management.
• Deploy and operate containerized services in Kubernetes and contribute to CI/CD pipelines.
• Increase observability with tracing, logging, and performance monitoring for production AI systems.
• Collaborate with network engineers and product managers to translate problems into agentic workflows.
• Develop data transformation logic and multi-tool orchestration scripts in sandboxed environments.

Skills

Python

FastAPI

Spark

Kafka

LangGraph

LangChain

MCP

Kubernetes

CI/CD

Docker

Observability

Education

Bachelor's degree in computer science

Master's degree in computer science

Tools

LangGraph

LangChain

Job description

Hewlett Packard Enterprise is seeking an Agentic AI Cloud Development Engineer to design and operate agentic workflows powering Marvis, HPE's AI assistant for networks. You will bridge data science, GenAI, and production engineering to ensure reliable, observable AI systems at cloud scale.

The role emphasizes LangGraph-based workflows, MCP server tooling, streaming data efforts, and containerized deployments within a hybrid setup requiring office presence about two days per week.