# Lead Agentic AI Offensive Security Engineer

**Company**: Hewlett Packard Enterprise
**Location**: Spring, Texas
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: Annual Salary USD 183,000 - 365,000 in Colorado // 197,000 - 395,000 in Massachusetts // 197,000 - 420,000 in California // 173,000 - 420,000 in North Carolina & Texas
**Category**: Engineering
**Industry**: Technology

**Apply**: https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Spring-Texas-United-States-of-America/Lead-Agentic-AI-Offensive-Security-Engineer_1218093-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_9500b275-888

## Description

HPE's Cybersecurity team is seeking a Lead Agentic AI Engineer to design, enhance, and support the technical direction of our AI-Enabled Offensive security organization.

Using your expertise in offensive security, you will architect and deliver secure, reliable, production-grade agentic AI platforms.

These platforms will accelerate and scale cybersecurity triage, investigation, detection engineering, response, and other complex workflows.

**Primary Responsibilities**

- Own the reference architecture and engineering standards for production agentic AI systems.

- Design reusable agent execution harnesses that separate AI reasoning and planning from deterministic execution.

- Lead multi-agent workflows, state management, memory, tool calling, human-in-the-loop controls, and long-running processes.

- Define model-agnostic interfaces supporting commercial, cloud-hosted, and open-weight models, including routing, fallback, and workload-based selection.

- Architect retrieval, context, and memory services using technologies such as RAG, hybrid search, and vector databases.

- Establish strategies for MCP servers, A2A protocols, APIs, tool registries, and enterprise integrations.

- Define evaluation, observability, reliability, and security practices, including least privilege, sandboxing, authorization, secrets management, guardrails, auditability, and defenses against prompt injection, tool abuse, and data leakage.

- Lead cross-functional architecture decisions, mentor engineers, and communicate technical tradeoffs to senior leadership.

**Experience and Skills**

- Candidates should demonstrate deep expertise in at least three areas, with Agentic Systems & Harness Engineering required:

- System Design & Architecture

- Agentic Systems & Harness Engineering

- Model-Agnostic AI & Context Engineering

- Platform Engineering & Production Reliability

- Evaluation, Security & AI Safety

- Experience with cybersecurity automation, security operations, offensive security, adversary simulation, reusable agent platforms, open-weight inference, or frameworks such as OWASP Top 10 for LLM Applications, MITRE ATLAS, MITRE ATT&CK, and NIST AI RMF is preferred.

- 10+ years of experience in software, platform, distributed-systems, or AI engineering, with demonstrated technical leadership on production systems.

- Proven experience architecting and operating production LLM-powered or agentic systems across their full lifecycle.

- Deep expertise in distributed systems, microservices, APIs, event-driven architectures, workflow and state management, scalability, concurrency, and fault tolerance.

- Strong hands-on experience with agent orchestration, planning, tool calling, delegation, memory, and long-running workflows using LangGraph, Claude Agent SDK, Semantic Kernel, AutoGen, or equivalent.

- Experience with foundation-model APIs and open-weight or self-hosted models, structured generation, and function calling.

- Expert Python and backend engineering skills, including REST/gRPC, messaging, Docker, Kubernetes, CI/CD, and cloud infrastructure.

- Practical experience with agent evaluation, trajectory and regression testing, AI security, and production reliability.

**Benefits**

- Comprehensive suite of benefits that supports physical, financial, and emotional wellbeing.

- Investment in career development and growth.

- Unconditional inclusion and celebration of individual uniqueness.

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## Skills

### Required
- Agentic Systems & Harness Engineering
- System Design & Architecture
- Model-Agnostic AI & Context Engineering
- Platform Engineering & Production Reliability
- Evaluation, Security & AI Safety
- Python
- backend engineering
- REST/gRPC
- messaging
- Docker
- Kubernetes
- CI/CD
- cloud infrastructure

### Nice to have
- cybersecurity automation
- security operations
- offensive security
- adversary simulation
- reusable agent platforms
- open-weight inference
- OWASP Top 10 for LLM Applications
- MITRE ATLAS
- MITRE ATT&CK
- NIST AI RMF

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Source: [Apply at hpe.wd5.myworkdayjobs.com](https://hpe.wd5.myworkdayjobs.com/en-US/Jobsathpe/job/Spring-Texas-United-States-of-America/Lead-Agentic-AI-Offensive-Security-Engineer_1218093-2?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)