AI Security & DevOps Engineer
Core
Own the end-to-end security standard for AI systems moving from prototype to production, including threat modeling, secure defaults, and client security engagement.
Role type
Senior AI Security & DevOps Engineer
Builds
Secure AI systems, CI/CD pipelines, and infrastructure-as-code for regulated enterprise clients
Domain
AI security, DevOps, cloud security (Azure/AWS/GCP), and agent security
Deliverable
production ML models
Required skills
Application and product security, DevOps and platform engineering, Identity and authentication (OAuth/OIDC, SSO/SCIM, RBAC), LLM and agent security, Secure SDLC
Preferred skills
Regulated-industry exposure, Consulting or agency background, OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI RMF
Technologies
Azure, AWS, GCP, Microsoft Entra, CI/CD, Infrastructure-as-code, SAST/DAST/SCA
Responsibilities
Define and run security gates (threat models, design reviews), harden identity/auth/secrets/data protection/agent surfaces, manage CI/CD and automated scanning, audit internal systems, lead client security conversations, set vendor standards, integrate security into project scoping
Seniority
Senior, hands-on IC with client-facing credibility