AI Security Engineer

3+ years of experience in cloud security engineering, DevSecOps, or infrastructure security with hands-on cloud platform experience.

Hands-on experience with Azure security services such as: Defender for Cloud, Sentinel, Entra ID/RBAC, Azure Policy, Key Vault, and network security configurations.

Candidates with equivalent depth in AWS or GCP who can demonstrate the ability to ramp on Azure are also encouraged to apply; Azure experience is strongly preferred.

Understanding of Zero Trust architecture principles, identity governance, and conditional access.

Experience with container or Kubernetes security concepts.

Proficiency in Python, PowerShell, or Bash for security automation.

$87,624.00 annual

$142,392.00 annual

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For information about benefits for this position, visit https://www.washington.edu/jobs/benefits-for-uw-staff/

UW Information Technology has an outstanding opportunity for AI Security Engineer

Reporting to Technology Manager, the AI Security Engineer will support the security, governance, and compliance of artificial intelligence (AI) initiatives at the university and its three campuses.

The AI Security Engineer exists to secure the university's AI platforms, primarily Purple, built on Cloudforce nebulaONE and hosted in Azure AI Foundry, ensuring that AI services delivered to over 50,000 faculty, staff, and students across three campuses operate within a robust, compliant, and trustworthy security framework.

Working at the University of Washington provides a unique opportunity to change lives – on our campuses, in our state and around the world.

UW employees bring their boundless energy, creative problem-solving skills and dedication to building stronger minds and a healthier world. In return, they enjoy outstanding benefits, opportunities for professional growth and the chance to work in an environment known for its diversity, intellectual excitement, artistic pursuits and natural beauty.