design, implement, and operationalize security and governance frameworks for AI adoption
define, threat model, and operationalize the security architecture for Cribl’s internal AI platform
partner with Business Operations to maintain visibility into AI tools and ungoverned patterns
own the framework for vetting MCP servers and maintaining an approved registry
establish secure patterns for secrets management and non-human identities
design and deploy guardrails for prompt injection defense and execution controls
partner on building observability for AI systems including telemetry pipelines
drive documentation and control readiness for AI-related obligations and customer scrutiny
establish security controls for AI-assisted internal development

Requirements

7+ years of experience in security engineering, application security, cloud security, or related technical security roles
strong hands-on experience with modern LLM and agentic systems
proven experience with OAuth, service identities, secrets management, RBAC / ABAC / scoped permissions
experience designing risk-tiered controls, approval models, and protective guardrails
ability to operationalize telemetry, define actionable detections, and investigate security signals
familiarity with frameworks and customer expectations relevant to enterprise AI governance

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

security engineeringapplication securitycloud securityOAuthsecrets managementRBACABACrisk-tiered controlstelemetryAI governance

Soft Skills

collaborationdocumentationcommunicationproblem-solvinganalytical thinking