Principal AI Security Engineer

Highlights

• Lead hands-on security for AI training, inference and model serving platforms.
• Design runtime controls that constrain execution, access and blast radius.
• Secure systems behind world's largest AI chip, 56x larger than GPUs.

Ideal candidate

Principal-level builder who turns ambiguous AI risks into practical, adoptable security architecture. You thrive hands-on across platforms and influence senior stakeholders to ship safer systems by default.

Requirements

• 10+ years in security engineering, platform, infrastructure or product security
• Hands-on engineering ability in Python and at least one additional production language
• Experience designing, building, operating and improving security controls as code
• Cloud and infrastructure security with AWS, IAM, networking, secrets and logging
• Deep identity expertise across SSO, MFA, OAuth, workload identity and least privilege
• Experience securing containers, Kubernetes and isolated runtime environments
• Familiarity with AI security, LLM apps, agentic workflows, MCPs and prompt injection
• Strong written communication and ability to influence senior stakeholders