Principal Agentic AI Security Engineer
Core
Architect, build, and ship autonomous agentic AI systems for security operations, including detection, investigation, response, and threat hunting.
Role type
Principal Agentic AI Security Engineer (hands-on IC)
Builds
Autonomous AI agent systems for security operations, secure agent-to-agent communication frameworks, and adversarial test tools
Domain
Cybersecurity + Agentic AI
Deliverable
production ML models | product features
Required skills
Python, software engineering for production systems, security operations, application security, threat intelligence, vulnerability research, detection engineering, offensive security, cloud security, building AI agents at scale, agentic coding tools usage, original technical research, technical standards development
Preferred skills
Agent orchestration (LangChain, AutoGen, MCP), adversarial ML, AI red teaming, AI safety, security compliance frameworks (NIST, ISO 27001, SOX), regulated industry experience, open-source security contributions
Technologies
Python, LLMs, custom models, SIEM, EDR, SOAR, cloud platforms, vulnerability scanners, LangChain, AutoGen, MCP
Responsibilities
Architect and build AI agent systems for autonomous security operations; Tackle novel problems like adversarial robustness and secure agent communication; Develop frameworks and tooling for secure agentic AI; Conduct original research on agentic AI for offensive/defensive security; Build proof-of-concept exploits to identify failure modes; Author security position papers and technical guidance; Serve as SME for AI Cybersecurity Maturity program; Integrate LLMs and security tooling into agent architectures; Set technical direction for agent development practices; Mentor engineers on the team
Seniority
Principal, hands-on IC with strategic leadership