1 день назад
Lead, Offensive Security (AI & Tooling)
142 300 - 195 700$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead, Offensive Security (AI & Tooling) (AI-driven offensive security): Building a production event-driven cloud platform with autonomous offensive security agents, LLM-driven planning loops, and tooling for red team, BAS, and penetration testing with an accent on agent orchestration, AI red teaming, and operational reliability. Focus on designing offensive agents for networks and web applications, testing enterprise AI systems against prompt injection and model abuse, and delivering measurable capabilities into live security workflows.
Location: 100% remote, but must reside within 60 minutes of Louisville, NYC Metro, Dallas Metro, Charlotte NC Metro, South Florida (Tampa/Miami/Fort Lauderdale), Washington DC Metro, Chicago, Boston, Atlanta, or Nashville. Occasional travel to offices for training or meetings may be required.
Salary: $142,300–$195,700 per year, plus eligibility for a bonus incentive plan.
Company
is a U.S. healthcare company providing insurance and healthcare services to millions of people.
What you will do
- Own the architecture, roadmap, and operation of an in-house AI agent platform for red team, breach and attack simulation, and penetration testing.
- Build autonomous and semi-autonomous agents for reconnaissance, exploitation, privilege escalation, lateral movement, and offensive tooling execution.
- Develop multi-agent orchestration, tool and function calling, event-driven cloud services, serverless functions, data pipelines, alarms, and LLM inference integrations.
- Red-team enterprise AI products, agents, RAG pipelines, and ML applications for prompt injection, jailbreaks, model extraction, poisoning, evasion, and tool or sandbox abuse.
- Deliver production-grade tools with reproducibility, evaluation, safety guardrails, human-in-the-loop controls, findings, remediation guidance, and risk tracking.
- Establish agent evaluation metrics, publish the offensive-AI roadmap and KPIs, and mentor 1–3 engineers.
Requirements
- 6+ years of offensive security experience in red team or penetration testing roles, including team- or program-level leadership.
- Strong production Python engineering experience building and operating software and tooling beyond scripts.
- Hands-on experience designing, building, or operating AI agents or LLM applications, including agentic workflows, tool or function calling, and orchestration.
- Hands-on testing of AI/ML systems using prompt injection, jailbreaking, and other adversarial techniques.
- Production experience with at least one major cloud provider: AWS, GCP, or Azure.
- Must meet the U.S. residence requirement and maintain a dedicated work space and wired DSL or cable internet with at least 25 Mbps download and 10 Mbps upload; satellite and wireless internet are not allowed.
Nice to have
- Experience building autonomous offensive agents, LLM-driven penetration-testing agents, or reinforcement-learning attack-path planners.
- Experience with PyRIT, Garak, MITRE ATLAS, OWASP Top 10 for LLM Applications, or the NIST AI Risk Management Framework.
- Experience with Model Context Protocol, RAG pipeline security, EDR/XDR-protected endpoints, multiple cloud providers, or threat-intelligence-driven operations.
- Advanced offensive expertise in malware development, red team operations, threat simulation, adversarial ML, or AI infrastructure.
- Published research, open-source contributions, conference talks, or expert-level offensive security certifications.
Culture & Benefits
- 100% remote work within the specified U.S. location requirement.
- Fridays dedicated to research and development in offensive security, agents, LLMs, and artificial intelligence.
- Access to Hack The Box Pro Labs, role-based training paths, certifications, discretionary certification funding, and conference or training budgets.
- Medical, dental, and vision benefits, 401(k), paid time off, holidays, paid parental and caregiver leave, disability coverage, and life insurance.
- Work focused on protecting health data and improving offensive security capabilities at production scale.
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