Microsoft
Principal Security Engineer - Red Agent Team
$143K–$304K
Redmond, WA · On-site · Principal · Full-time · Posted Oct 21, 2026
- Experience
- 4+ years with a master's degree; 6+ years with a bachelor's degree; or equivalent experience.
- Education
- Master's or bachelor's degree in Statistics, Mathematics, Computer Science, or a related field; or equivalent experience.
About the job
Leads the architecture and engineering strategy for enterprise-scale autonomous AI agents that emulate adversaries for security testing within strict safety and authorization guardrails.
What you'll do
- Set the Red Agents portfolio architecture, technical strategy, and engineering roadmap; resolve cross-team technical and organizational challenges.
- Guide architectural decisions balancing scalability, security, reliability, maintainability, and delivery velocity; promote experimentation and telemetry-driven development.
- Drive engineering and operational excellence through automation, testing, SLOs, incident response, capacity planning, and post-incident improvements.
What they ask for
- Master's degree in Statistics, Mathematics, Computer Science, or a related field and 4+ years of experience in security or a related field; OR bachelor's degree in those fields and 6+ years of experience; OR equivalent experience.
- Ability to meet Microsoft, customer and/or government security screening requirements, including passing the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Nice to have
- Experience building Generative AI or agentic systems, including LLM orchestration, retrieval, tool use, evaluation, and safety guardrails.
- Offensive security, red teaming, penetration testing, or adversary emulation experience; familiarity with MITRE ATT&CK, identity, authorization, and multi-tenant isolation.
Pay
USD $142,800 - $274,800 per year (base salary); USD $188,000 - $304,200 per year (base salary)
Tools
Generative AI, LLM, MITRE ATT&CK, RBAC
AI focus
Builds autonomous AI-powered offensive security agents that emulate real-world adversaries, using multi-agent systems with reasoning, memory, planning, and safety and authorization guardrails.
Model-written summary · the original posting is authoritative