Lead Agentic AI Security Engineer

Hewlett Packard Enterprise

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

Posted 11/5/2026full-timeUnited StatesSenior💰 $173,000 - $420,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in Architecting Agentic Systems and Harness Engineering, with a strong focus on Model-Agnostic AI and Context Engineering. Proven ability to lead technical teams, communicate complex concepts to leadership, and ensure production reliability and security in AI systems.

Highest-signal resume keywords

Agentic Systems & Harness EngineeringModel-Agnostic AI & Context EngineeringDistributed Systems & MicroservicesPython & Backend EngineeringAI Security & Production Reliability

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

System Design & ArchitectureAgent OrchestrationWorkflow & State ManagementScalability & ConcurrencyFault ToleranceREST/gRPCDockerKubernetesCI/CDCloud Infrastructure

Soft Skills

Technical LeadershipMentoringCommunication

Tools & Technologies

LangGraphClaude Agent SDKSemantic KernelAutoGenFoundation-Model APIs

Industry Keywords

Cybersecurity AutomationSecurity OperationsAdversary SimulationOWASP Top 10 for LLM ApplicationsMITRE ATLASMITRE ATT&CKNIST AI RMF

Tech Stack

Tools & technologies

CloudCyber SecurityDistributed SystemsDockerGRPCKubernetesMicroservicesPython

About the role

Key responsibilities & impact

Own the reference architecture and engineering standards for production agentic AI systems
Design reusable agent execution harnesses separating 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 for commercial, cloud-hosted, and open-weight models, including routing, fallback, and workload-based selection
Architect retrieval, context, and memory services using 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
Communicate technical tradeoffs to senior leadership

Requirements

What you’ll need

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

Benefits

Comp & perks

Comprehensive health and wellbeing benefits supporting physical, financial and emotional wellbeing
Personal and professional development programs
Flexible work and personal needs management
Inclusive workplace culture
Reasonable accommodation support during application/interview process