{"id":3788416,"url":"https://alion.io/job/hewlett-packard-enterprise-lead-agentic-ai-offensive-security-engineer","title":"Lead Agentic AI Offensive Security Engineer","company":{"id":5292,"name":"Hewlett Packard Enterprise","domain":"hpe.com","url":"https://alion.io/company/hewlett-packard-enterprise","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":83,"open_postings":161,"ghost_share":0,"stale_share":0.677,"repost_share":0.006,"time_to_fill_p50_days":34,"computed_at":"2026-11-05T05:54:30Z"}},"role":"Security","role_family":"Security","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Jose, United States","Durham, United States","Fort Collins, United States","Frisco, United States","United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":183000,"max":365000,"currency":"USD","period":"year","gross":null,"usd_annual":365000},"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"Context Engineering","optional":false},{"name":"Docker","optional":false},{"name":"Function Calling","optional":false},{"name":"gRPC","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"Hybrid Search","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangGraph","optional":false},{"name":"Least Privilege","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"MITRE ATT&CK","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NIST AI RMF","optional":false},{"name":"OpenAI Agents SDK","optional":false},{"name":"OWASP Top 10","optional":false},{"name":"Platform Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Semantic Kernel","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-11-04T00:00:00Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-06T03:58:10Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Lead Agentic AI Offensive Security EngineerThis role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.Who We Are:\nHewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.\nJob Description:\nHPE’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.\nPrimary Responsibilities\nOwn the reference architecture and engineering standards for production agentic AI systems.\nDesign reusable agent execution harnesses that separate AI reasoning and planning from deterministic execution.\nLead multi-agent workflows, state management, memory, tool calling, human-in-the-loop controls, and long-running processes.\nDefine model-agnostic interfaces supporting commercial, cloud-hosted, and open-weight models, including routing, fallback, and workload-based selection.\nArchitect retrieval, context, and memory services using technologies such as RAG, hybrid search, and vector databases.\nEstablish strategies for MCP servers, A2A protocols, APIs, tool registries, and enterprise integrations.\nDefine 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.\nLead cross-functional architecture decisions, mentor engineers, and communicate technical tradeoffs to senior leadership.\nExperience and Skills\nCandidates should demonstrate deep expertise in at least three areas, with Agentic Systems & Harness Engineering required:System Design & Architecture\nAgentic Systems & Harness Engineering\nModel-Agnostic AI & Context Engineering\nPlatform Engineering & Production Reliability\nEvaluation, Security & AI Safety\n\nExperience 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.\n10+ years of experience in software, platform, distributed-systems, or AI engineering, with demonstrated technical leadership on production systems.\nProven experience architecting and operating production LLM-powered or agentic systems across their full lifecycle.\nDeep expertise in distributed systems, microservices, APIs, event-driven architectures, workflow and state management, scalability, concurrency, and fault tolerance.\nStrong 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.\nExperience with foundation-model APIs and open-weight or self-hosted models, structured generation, and function calling.\nExpert Python and backend engineering skills, including REST/gRPC, messaging, Docker, Kubernetes, CI/CD, and cloud infrastructure.\nPractical experience with agent evaluation, trajectory and regression testing, AI security, and production reliability.\nAccessibility\nHPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.\nNote: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.\nWhat We Can Offer You:\nHealth & Wellbeing\nWe strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.\nPersonal & Professional Development\nWe also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division.\nUnconditional Inclusion\nWe are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.\nLet's Stay Connected:\nFollow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.\nJob:\nInformation TechnologyJob Level:\nTCP_07The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.- United States of America: 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\nThe listed salary range reflects base salary. Variable incentives may also be offered.\nInformation about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html\nThe estimated job application period closure is February 1 2027; this timeline is provided for transparency and internal planning purposes.HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBTemployer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.\nHewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.\nHPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.\nRecruitment Fraud Alert\nWe have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.\nAll legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. 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