Senior Enterprise AI Control Plane Engineer

Professional Transportation Consulting, Inc.; Boston (MA); Hybrid; USD 135,000 - 155,000; Full time

Benefits offered by this job

Employee stock purchase plan (ESPP)

Medical, dental, vision insurance

401(k) with employer match

Commute subsidy

Job summary

PTC Inc. is seeking a Senior Enterprise AI Control Plane Engineer in the Boston area to set up and operate our governance layer for AI agents and MCP gateways.

The role focuses on secure, observable configuration across MCP servers and gateways, with strong collaboration across security, architecture, and business teams. Ideal candidates have 5–8 years in API management and platform engineering, with hands-on experience in gateways, RBAC, and observability.

Qualifications

• 5–8 years of experience in enterprise integration, API management, platform engineering or related roles.
• Strong understanding of API governance, API security, lifecycle management, policies and observability.
• Experience with authentication and access control patterns (OAuth, OIDC, JWT, API keys, RBAC, SSO).

Responsibilities

• Configure and operate the Enterprise AI Control Plane, including MCP gateways, LLM gateways, policies, access control, observability, and governance.
• Onboard internal and vendor MCP servers through a common gateway for secure, observable agent access.
• Define governance patterns for AI agents, MCP tools, model access, rate limits, logging, approvals, and usage tracking.
• Collaborate with business teams to translate AI agent use cases into secure platform configurations.
• Work with security and architecture teams on authentication, authorization, audit logging, and policy enforcement.
• Support discovery, cataloging, and lifecycle management of AI agents, MCP servers, and tools.
• Build dashboards and reports for agent usage, MCP tool usage, LLM usage, errors, latency, and policy violations.
• Create onboarding guides, runbooks, and best practices for AI agent integrations.

Skills

API governance

API gateways

Observability

RBAC

OAuth/OIDC/JWT

Stakeholder collaboration

Platform engineering

Cloud engineering

Troubleshooting

Documentation

Tools

Azure API Management MCP

Microsoft Foundry AI Gateway

Salesforce Agentforce / MuleSoft Agent Fabric / Omni Gateway

Boomi API Control Plane / Boomi MCP

Kong

Apigee

MuleSoft Anypoint

WSO2

Tyk

AWS API Gateway

AWS Bedrock

Job description

Our world is transforming, and PTC is leading the way.Our software brings the physical and digital worlds together, enabling companies to improve operations, create better products, and empower people in all aspects of their business. Our people make all the difference in our success. Today, we are a global team of nearly 7,000 and our main objective is to create opportunities for our team members to explore, learn, and grow – all while seeing their ideas come to life and celebrating the differences that make us who we are and the work we do possible.

We are looking for a Senior Enterprise AI Control Plane Engineer with 5 to 8 years of experience to help set up, manage, and operate our enterprise AI governance and integration layer. This role will focus on configuring and managing MCP Gateways, AI/LLM Gateways, policies, access controls, governance, observability, and agent registries.

The ideal candidate is techno‑functional, with a strong foundation in API Management / API Governance, and an interest in extending those concepts into the emerging AI agent and MCP ecosystem.

The person in this role will work closely 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.

Key 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.
• Support discovery, cataloging, and lifecycle management of AI agents, MCP servers, and reusable tools.
• Build operational dashboards and reports for agent usage, MCP tool usage, LLM usage, errors, latency, and policy violations.
• Create reusable onboarding guides, standards, runbooks, and best practices for AI agent integrations.

Required Experience

• 5 to 8 years of experience in enterprise integration, API management, platform engineering, cloud engineering, or related roles.
• Strong understanding of API gateways, API governance, API security, lifecycle management, policies, subscriptions, and observability.
• Experience with authentication and access control patterns such as OAuth, OIDC, JWT, API keys, RBAC, service principals, managed identity, or SSO.
• Ability to work with both technical and business stakeholders.
• Experience supporting production platforms, troubleshooting issues, and creating operational documentation.
• Strong communication skills and ability to explain governance and platform concepts clearly.

Preferred Skills

• Experience with one or more of the following platforms or equivalent technologies: LiteLLM or other LLM gateway platforms for model routing, budgets, guardrails, logging, and usage tracking.
• Azure API Management MCP capabilities for exposing APIs as MCP servers and governing MCP traffic.
• Microsoft Foundry AI Gateway for centralized governance of MCP traffic, access control, rate limits, and audit logging.
• Microsoft Agent 365 Registry for centralized visibility and governance of enterprise AI agents.
• Salesforce Agentforce / MuleSoft Agent Fabric / Omni Gateway for agent discovery, orchestration, governance, and observability.
• Boomi API Control Plane / Boomi MCP capabilities for exposing managed APIs as MCP tools.
• Equivalent platforms such as Kong, Apigee, MuleSoft Anypoint, WSO2, Tyk, AWS API Gateway, AWS Bedrock, or other AI gateway/control plane platforms.

Technical Areas

• Model Context Protocol concepts, MCP servers, MCP clients, and MCP tools.
• AI/LLM gateways, model routing, provider abstraction, usage controls, and guardrails.
• API governance, API products, policies, versioning, catalogs, and lifecycle management.
• Observability tools such as Azure Monitor, Application Insights, OpenTelemetry, Datadog, Splunk, Grafana, or Prometheus.
• Cloud and integration platforms, preferably Azure, Boomi, MuleSoft, or equivalent.
• Exposure to Claude, Codex, Cursor, or equivalent AI Engineering tools.

The anticipated annual salary range for this position is between $135,000 - $155,000.

The salary range reflects a good‑faith estimate of compensation at the time of posting. Actual compensation may vary based on a candidate's skills, qualifications, experience, and location. Additionally, candidates may be eligible for a performance‑based bonus.

Employees also have the opportunity to become a PTC shareholder through our employee share purchase program (ESPP), which allows for the purchase of discounted PTC stock. Certain roles may also be eligible for participation in our equity programs.

• Employees may be eligible for medical, dental and vision insurance, paid time off and sick leave, tuition reimbursement, 401(k) contributions and employer match, flexible spending accounts, life insurance, disability coverage and, if you are an office‑assigned employee, a generous commuter subsidy.

At PTC, we believe in the power of diverse ideas and perspectives.

As a global company that values and respects all identities, cultures, and perspectives, we strive to create an inclusive PTC for ALL through an environment where everyone feels like they belong and are empowered to bring their true, authentic selves to work.

Proud to be an Equal Opportunity Employer, we welcome applicants from all backgrounds and hire without regard to race, national origin, religion, age, color, ethnicity, ancestry, marital status, sex (including pregnancy), sexual orientation, gender identity, gender expression, genetic information, disability, veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

For more information about PTC’s comprehensive benefits and our AI usage, please visit our Careers Page (https://www.ptc.com/en/careers/united-states-careers).

Life at PTC is about more than working with today’s most cutting-edge technologies to transform the physical world. It’s about showing up as you are and working alongside some of today’s most talented industry leaders to transform the world around you. If you share our passion for problem-solving through innovation, you’ll likely become just as passionate about the PTC experience as we are.

PTC endeavors to make ptc.com/careers accessible to all users.

We are bold thinkers who collaborate as one team to deliver meaningful customer outcomes. Grounded in our values-Customers Matter, PTC for All, Team PTC, Purposeful Innovation, and Be Bold, we’re shaping a smarter, more sustainable, connected future.