Lead Agentic AI Security Engineer (Hybrid)

Hewlett Packard Enterprise; Spring (TX); Hybrid; USD 127,000 - 291,000; Full time

Benefits offered by this job

Health & Wellbeing

Career development programs

Inclusive culture

Job summary

Hewlett Packard Enterprise seeks an Principal Agentic AI Offensive Security Engineer to design, build, and operate production-grade agentic systems. You will focus on architecture, orchestration, model-agnostic interfaces, and secure, scalable platforms for complex workflows.

The role emphasizes deterministic execution, multi-agent coordination, and integration of MCP servers, tools, and data sources. A strong background in distributed systems and AI safety is required.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Artificial Intelligence, or related field, or equivalent practical experience.
• Typically 5–8 years of software engineering, platform engineering, distributed systems, AI engineering, or related experience.
• Experience designing and delivering production software systems.
• Hands-on experience with LLM-powered or agentic systems is strongly preferred.

Responsibilities

• Design and develop scalable architectures for production-grade agentic AI systems.
• Build agent orchestration, multi-agent workflows, state management, memory, tool integration, and human-in-the-loop capabilities.
• Design reusable execution harnesses and services that separate AI reasoning and planning from deterministic execution.
• Develop model-agnostic interfaces supporting multiple foundation models, providers, and inference platforms.
• Build and integrate MCP servers, APIs, tool registries, skills, enterprise services, and data sources.
• Develop retrieval and context services including RAG, hybrid search, vector databases, and agent memory.
• Build backend services supporting asynchronous and distributed agent execution.
• Design evaluation and testing capabilities for agent behavior, tool usage, task completion, security, reliability, and performance.
• Implement observability across agent execution, model interactions, tools, state transitions, and system performance.
• Apply security engineering principles including least privilege, sandboxing, authorization, secrets management, guardrails, and auditability.
• Deploy and operate agentic services using containers, Kubernetes, CI/CD, and modern cloud-native practices.
• Evaluate emerging models and technologies while maintaining architectural independence from vendors.

Skills

System Design

Agentic Systems

Model-Agnostic AI

Platform Engineering

AI Safety

Education

CS/Engineering/AI degree

Tools

Docker

Kubernetes

REST/gRPC

Job description

Hewlett Packard Enterprise seeks an Principal Agentic AI Offensive Security Engineer to design, build, and operate production-grade agentic systems. You will focus on architecture, orchestration, model-agnostic interfaces, and secure, scalable platforms for complex workflows.

The role emphasizes deterministic execution, multi-agent coordination, and integration of MCP servers, tools, and data sources. A strong background in distributed systems and AI safety is required.