AI Platform & Security Engineer

We'll Trust you to:

Manage enterprise configurations and governance for Claude, ChatGPT, Codex, and future AI platforms.

Secure and govern our ecosystem of MCP servers, connectors, and AI integrations.

Evaluate new AI tools, agents, and capabilities through technical security reviews and risk assessments.

Build and automate the controls that translate governance policies into enforceable technical standards.

Own AI platform administration, including identity, access, permissions, and platform configuration.

Deploy, operate, and continuously improve the infrastructure that powers our internal AI tools and AI Lab.

Partner closely with AI Innovation, IT, Cloud Engineering, and Governance & Risk to enable rapid, responsible AI adoption across the business.

You'll thrive in this role if you:

Are hands-on with platforms and infrastructure. You're comfortable working across cloud platforms (Azure preferred), identity and access management, endpoint or configuration management, and policy-as-code. You enjoy building, configuring, and operating systems—not just designing them.

Balance speed with governance. You know how to enable innovation while meeting security and compliance requirements, finding practical solutions that move the business forward without compromising standards.

Collaborate across teams. You build strong partnerships with AI Innovation, IT, Cloud Engineering, and Governance & Risk, bringing people together to solve complex technical and operational challenges.

Enjoy creating what doesn't exist yet. You're energized by ambiguity, comfortable making decisions with incomplete information, and excited by the opportunity to define standards and best practices as our AI platform continues to evolve.

You'll need to have:

At least 4 years of experience in platform engineering, security engineering, DevOps, cloud infrastructure, or IT engineering.

Hands-on experience with cloud platforms (Azure preferred), identity and access management (SSO), and configuration or endpoint management.

Experience supporting or leading security reviews, audit activities, or compliance initiatives; exposure to HIPAA, GxP, or other regulated environments is a plus.

Familiarity with enterprise AI platforms, LLMs, AI agents, or MCP is highly desirable—but we're equally interested in candidates who can learn these technologies quickly.

Confidence partnering with Governance, Risk, and Compliance teams, IT, engineering teams, and external vendors to balance security, compliance, and innovation.