Principal AI Security Engineer

What you'll do

• Define security architecture and build controls for AI platforms, workloads, developer workflows, and agentic systems.
• Develop reusable identity, authorization, runtime, and secure development patterns; automate policy checks and security validation.
• Instrument systems with telemetry and auditability, and lead security reviews across product, infrastructure, and engineering.

What they ask for

• 10+ years of experience in security engineering, platform security, infrastructure security, product security, or related technical security roles.
• Strong hands-on engineering ability in Python and at least one additional production language.
• Experience designing, building, operating, and improving security controls as code.
• Strong cloud and infrastructure security experience; deep understanding of identity and access systems.

Nice to have

• Cloud security experience, preferably with AWS.
• Familiarity with AI security, LLM application security, agentic workflows, MCPs, prompt injection, autonomous coding agents, or AI platform security.

Tools

Python, AWS, MCPs, Kubernetes, OAuth, GitOps, CI/CD

AI focus

Secures AI platforms and workflows for training, inference, model serving, customer workloads, and agentic automation, including identity, tool access, runtime containment, and AI-assisted development.