Principal AI Security Engineer, AI Native Platform

📋 Description

• Own frontier model access security and governance.
• Architect identity and trust for non-human agents.
• Define defense posture for production AI systems.
• Shape security architecture for the AI end-user platform.
• Secure knowledge layer with access control and data governance.

🎯 Requirements

• 15+ years security engineering; deep in apps, cloud IAM, or detection.
• Platform-level security architecture ownership with trust models and data boundaries.
• Hands-on with LLM/agentic systems; prompts, RAG, multi-agent orchestration.
• Deep IAM for non-human systems: service identities, OAuth, secrets, RBAC/ABAC.
• Production telemetry and security observability at architecture level.
• Comfort with ambiguity; in-flight builds, drafting standards, and scaling.

🎁 Benefits

• Competitive pay and benefits
• Medical, dental, vision, life and disability insurance
• 401(k) plan with company matching
• Mental Wellness Program & EAP
• Flexible PTO and 13 company-wide days off
• Equipment, tools, remote-work reimbursement