Lead Agentic AI Offensive 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

Use this summary to align your resume positioning with the role.

Demonstrates extensive expertise in architecting and engineering production agentic AI systems, with a strong focus on multi-agent workflows, memory management, and security practices. Proficient in leading cross-functional teams and communicating technical strategies to senior leadership.

Highest-signal resume keywords

Agentic Systems & Harness EngineeringDistributed SystemsPython ProgrammingAgent OrchestrationAI Security

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software EngineeringPlatform EngineeringMicroservicesAPIsEvent-Driven ArchitecturesScalabilityConcurrencyFault ToleranceAgent EvaluationProduction Reliability

Soft Skills

Technical LeadershipMentoringCommunication

Tools & Technologies

LangGraphClaude Agent SDKSemantic KernelAutoGenDockerKubernetesCI/CDCloud InfrastructureREST/gRPCMessaging

Industry Keywords

Cybersecurity AutomationSecurity OperationsAdversary SimulationOWASP Top 10MITRE 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, and 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 listed areas, with Agentic Systems & Harness Engineering required
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
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 preferred

Benefits

Comp & perks

Comprehensive benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Flexible work arrangements to manage work and personal needs
Reasonable accommodation support during application or interview process