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Mid-level specialized AI-platform security role in a metro with niche skills yields moderate applicant density.
Core platform and security skills transfer across industries, though HIPAA/GxP regulatory experience raises sensitivity.
Explicit 4–8 years requirement plus mandatory cloud, identity, and security/ compliance skills create strict filters.
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Own and manage the AI platform configuration and security layer underpinning enterprise AI tools like Claude and ChatGPT, ensuring policy enforcement and governance at scale.
Operate and secure the MCP server ecosystem including supply-chain controls, data residency decisions, permissions reviews, and deployment infrastructure.
Run security reviews for new AI tools, maintain approved tool catalog, manage cost and token governance dashboards, and administer AI platform access and entitlements.
4-8 years of experience in platform engineering, security engineering, DevOps, cloud infrastructure, or IT engineering.
Hands-on experience with cloud platforms (Azure preferred), identity and SSO, and endpoint or configuration management.
Experience with security reviews, audit, or compliance tooling; exposure to HIPAA/GxP is a plus.
Work Experience Required: 4-8 years
Security-focused operational engineer comfortable with cloud-based AI platform infrastructure and policy-as-code configuration.
Able to coordinate complex cross-functional governance involving AI innovation, IT, Cloud, and GRC teams to deliver compliant solutions quickly.
Experience working in ambiguous, greenfield technology environments, capable of defining new standards and operating independently with external vendors and governance counterparts.