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AI Security Engineer

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Skills

ABAC Cloud Security Data Governance Identity and Access Management (IAM) Multi-Agent Orchestration OAuth Production AI Systems RBAC Security Engineering Telemetry

We are seeking a Principal AI Security Engineer to lead the security and governance of frontier model access within our AI Native Platform. This role will focus on architecting identity and trust for non-human agents, defining the defense posture for production AI systems, and shaping the security architecture for the AI end-user platform.

Key Responsibilities
  • 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.
  • Manage platform-level security architecture with trust models and data boundaries.
  • Ensure production telemetry and security observability at the architecture level.
Required Skills & Qualifications
  • 15+ years of experience in security engineering.
  • Deep understanding of applications, cloud IAM, or detection.
  • Hands-on experience with LLM/agentic systems, prompts, RAG, and multi-agent orchestration.
  • Expertise in deep IAM for non-human systems: service identities, OAuth, secrets, RBAC/ABAC.
  • Comfort with ambiguity and in-flight builds, drafting standards, and scaling.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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