Enterprise AI Platform & Control Plane Lead

About the Role

A leading financial services company is seeking an Enterprise AI Platform & Control Plane Lead to manage and operate AI governance at the runtime layer, ensuring secure and compliant AI operations across the enterprise.

Responsibilities

• Build and operate the LLM Gateway for standardized and secure model access.
• Develop the MCP Control Plane for tool registration, permissioning, and policy enforcement.
• Manage agent registry, identity, and access management.
• Implement data-boundary controls to govern data access and prevent sensitive data egress.
• Establish runtime guardrails to prevent unsafe or non-compliant actions.
• Ensure audit-grade logging for model calls, agent actions, and tool invocations.
• Oversee model and provider onboarding, approval, and deprecation processes.
• Coordinate incident response for AI systems, including implementing a kill switch.
• Integrate with platforms like Microsoft Copilot Studio, Google Enterprise, OpenAI, and Anthropic Claude.
• Develop standards and reference architectures for scalable AI governance.

Requirements

• 7+ years of experience in platform engineering, cloud infrastructure, or enterprise architecture.
• Experience with platforms serving multiple internal teams, such as gateways or IAM platforms.
• Strong understanding of identity and access management and least-privilege design.
• Experience integrating with LLM providers and orchestration frameworks.
• Ability to define and enforce runtime controls and logging across distributed systems.
• Knowledge of security engineering fundamentals and fluent in AWS.
• Ability to translate governance and risk requirements into technical controls.

Pay

Pay Rate: $100 – $100/hr, DOE