Senior Enterprise AI Control Plane Engineer

About the role

PTC is looking for a Senior Enterprise AI Control Plane Engineer to help set up, manage, and operate its enterprise AI governance and integration layer. The role focuses on configuring and managing MCP gateways, AI/LLM gateways, policies, access controls, governance, observability, and agent registries.

The engineer will work with business stakeholders, architecture, security, platform teams, and application owners as teams build AI agents that connect to internal and vendor MCP servers through a common governed gateway.

Responsibilities

• Configure and operate the Enterprise AI Control Plane, including MCP gateways, LLM gateways, policies, access control, observability, and governance.
• Help onboard internal and vendor MCP servers through a common gateway for secure and observable agent access.
• Define and implement governance patterns for AI agents, MCP tools, model access, rate limits, logging, approvals, and usage tracking.
• Partner with business teams to understand AI agent use cases and translate them into secure platform configurations.
• Collaborate with security and architecture teams on authentication, authorization, RBAC, audit logging, and policy enforcement.

Requirements

• 5 to 8 years of experience.
• A strong foundation in API Management / API Governance and an interest in extending those concepts into the emerging AI agent and MCP ecosystem.
• A techno-functional background.

Key facts

• The role is based in Boston, United States.
• The source lists 5 to 8 years of experience.
• The role focuses on enterprise AI governance, gateways, access controls, and agent registries.
• The role requires a strong foundation in API Management / API Governance.