Principal AI Security Engineer
Core
Design and build security controls for enterprise IT, infrastructure, AI platforms, training/inference workflows, and agentic systems.
Role type
Principal AI Security Engineer (hands-on IC)
Builds
Security controls, reusable patterns, and production-ready systems for AI platforms and agentic workflows
Domain
AI/ML infrastructure security, cloud-native security, agentic systems
Deliverable
production ML models | infrastructure
Required skills
Security architecture design, Python engineering, cloud infrastructure security (AWS), identity and access management (IAM, OAuth, SSO), container/Kubernetes security, AI/LLM security, policy-as-code, automated security validation
Preferred skills
Experience with agentic workflows, MCPs, prompt injection mitigation, workload identity, secrets management, CI/CD security, telemetry and anomaly detection
Technologies
Python, AWS, Kubernetes, GitOps, CI/CD, Infrastructure as Code, Policy as Code
Responsibilities
Define security architecture for AI platforms and agentic systems; Develop reusable security patterns for identity, authorization, and tool access; Design runtime controls for execution and data exposure; Build security capabilities as code; Define secure development patterns for AI agents and models; Automate security reviews and policy validation; Instrument AI activity with telemetry and audit logs
Seniority
Principal, hands-on IC