Lead Agentic AI Security Engineer (Hybrid)

Hewlett Packard Enterprise

Frisco (TX)

Hybrid

USD 173,000 - 420,000

Full time

46 hours ago
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Job summary

Hewlett Packard Enterprise is seeking a Lead Agentic AI Engineer to design, enhance and support the AI-enabled offensive security platform. You will own architecture, lead multi-agent workflows, and drive secure, production-grade agentic systems across the lifecycle.

The role requires deep expertise in agentic systems, distributed architectures, and Python-based backend engineering. A hybrid work model is offered with partial in-office collaboration two days per week in HPE offices across the

Qualifications

  • Expertise in agentic systems and harness engineering.
  • Experience with model-agnostic AI and context engineering.
  • Deep knowledge of distributed systems, APIs, and security.

Responsibilities

  • Own reference architecture and engineering standards for production agentic AI systems.
  • Design reusable agent execution harnesses separating reasoning from execution.
  • Lead multi-agent workflows, memory, tool calling, and long-running processes.
  • Define interfaces for various model types and routing decisions.
  • Architect retrieval, context, and memory services with RAG and vector databases.
  • Establish MCP servers, APIs, tool registries, and enterprise integrations.
  • Define observability, reliability, security practices including guardrails and data protection.
  • Lead cross-functional architecture decisions and mentor engineers.

Skills

Agentic Systems
Harness Engineering
Model-Agnostic AI
Distributed Systems
Python backend
Docker & Kubernetes
REST/gRPC
AI Safety

Tools

LangGraph
Claude Agent SDK
Semantic Kernel
AutoGen
Open-weight models

Job description

Hewlett Packard Enterprise is seeking a Lead Agentic AI Engineer to design, enhance and support the AI-enabled offensive security platform. You will own architecture, lead multi-agent workflows, and drive secure, production-grade agentic systems across the lifecycle.

The role requires deep expertise in agentic systems, distributed architectures, and Python-based backend engineering. A hybrid work model is offered with partial in-office collaboration two days per week in HPE offices across the

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