AI Security Engineer

New

Skills

AI Security Architecture Governance Standards Incident Response MCP Security Management OAuth Prompt Injection Defense RBAC/ABAC Secrets Management Shadow AI Discovery Telemetry

As a Staff AI Security Engineer, you will be responsible for defining and implementing security standards for Cribl's internal AI systems. You will work on various aspects of AI security architecture, governance, and risk mitigation to ensure the safety and integrity of AI operations.

Key Responsibilities
  • Define AI security architecture and governance standards.
  • Monitor tools, licenses, tokens, and MCP servers; remediate risks effectively.
  • Vet MCP servers and maintain an approved security registry.
  • Protect secrets, non-human identities, and OAuth access tokens.
  • Implement defenses against prompt injection attacks and establish safe execution practices.
  • Build telemetry and incident response patterns for AI security events.
Required Skills & Qualifications
  • 7+ years of experience in security engineering.
  • Hands-on experience with LLMs/agents and prompt-injection threat models.
  • In-depth knowledge of identity, secrets management, and governance (OAuth, RBAC/ABAC).
  • Strong judgment in designing risk-tiered security controls and guardrails.
  • Experience in telemetry, detections, investigations, and incident response.
  • Familiarity with compliance frameworks such as NIST AI RMF, ISO 42001, GDPR, and SOC 2.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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