Sr. AI Governance Engineer

Cyclotron, Inc.•Dallas, TX

5d•Remote

About The Position

Cyclotron’s AI Engineering team is hiring a Sr. AI Governance Engineer to own how our enterprise clients deploy, govern, and scale Microsoft AI and automation platforms. This is a hands-on, client-facing role where governance is the headline — Power Platform environment strategy, Copilot Studio agent lifecycle, DLP, identity, and ALM — but you also build. The right person has lived inside the Power Platform Admin Center long enough to have informed opinions about it, has stood up Copilot Studio agents inside regulated environments, and can walk a CIO through a managed environment design without losing the room. Bonus if you can drop into the pro-code stack — Azure, Functions, custom connectors — when the maker fabric isn’t enough. We are looking for someone who treats governance not as a brake but as the thing that lets scale actually happen.

Requirements

5+ years of enterprise experience across Microsoft platform delivery, with meaningful time spent on Power Platform governance, administration, or architecture in a multi-environment, multi-business-unit context.
Strong hands-on experience with Microsoft Power Platform — Power Apps, Power Automate, Dataverse, and the Power Platform Admin Center (PPAC). You can navigate PPAC quickly and know what each setting actually does.
Proven expertise in Power Platform governance — environment strategy, DLP policy design and enforcement, managed environments, solution ownership and access control models. You have shipped these at enterprise scale, not just read about them.
Experience with Copilot Studio, including agent governance, publishing models, security considerations, and how agents interact with the broader Microsoft 365 surface.
Solid understanding of identity, security, and compliance concepts — Entra ID, least privilege, conditional access, auditability — and how they map onto Power Platform and Copilot Studio decisions.
Comfortable engaging directly with clients and articulating strategy, risks, and recommendations to executive audiences — written and verbal, polished without being stiff.
Able to work remotely within the United States with reliable overlap for Eastern and Central business hours.
Experience contributing to or standing up Center of Excellence (CoE) capabilities at real clients — not just deploying the toolkit, but operationalizing it: governance cadences, intake processes, maker enablement, and the political work to get adoption.
You have informed opinions on managed environments versus default, when to use solution checker enforcement, how to design a sane DLP policy that does not break every flow, and where the current platform guardrails fall short.
You have shipped Copilot Studio agents into regulated or otherwise high-scrutiny environments and can walk through the publishing, security, and content-moderation choices you made.
You stay current with the platform — you read the Power Platform release plans, you try features in preview, and you have a view on where Copilot Studio, agents, and the broader Microsoft AI surface are heading next.

Nice To Haves

Familiarity with pro-code extensions to the Power Platform — Azure Functions, Logic Apps, custom connectors, Azure DevOps pipelines — is a nice-to-have, not a hard requirement, but expect it to come up in conversation.
Pro-code and Azure depth — Azure Functions, Logic Apps, custom connectors, API Management, Azure DevOps pipelines for Power Platform ALM.
Hands-on experience with Azure AI services — Azure OpenAI, AI Foundry, AI Search — and how they integrate with Copilot Studio and the Power Platform.
Microsoft Fabric and Dataverse-to-Fabric integration patterns.
Experience with the Power Platform CoE Starter Kit and customizations on top of it.
Consulting or professional-services experience, or prior work in a partner/ISV ecosystem.
Track record of mentoring engineers, makers, or growing a practice.

Responsibilities

Design and implement Power Platform and Copilot Studio governance frameworks for enterprise clients — environment strategy and segmentation, DLP and connector policy design (classic and advanced), Copilot/agent lifecycle governance, and security, compliance, and identity alignment (Entra ID, RBAC).
Contribute to the definition of enterprise operating models, guardrails, and standards for AI and automation platforms — the kind of artifacts clients will still be using two years after we leave.
Assess client maturity and recommend future-state governance roadmaps aligned to business and risk goals; sequence the work so it is actually adoptable.
Advise on best practices across Power Apps, Power Automate (cloud and desktop), Dataverse, Copilot Studio agents (build, deploy, monitor, manage), ALM strategies (solutions, pipelines, DevOps integration), and monitoring, auditing, and operational support models.
Review and validate platform configurations for scalability, security, and compliance — catch the design choices that will not survive contact with production.
Support solution architects and makers with governance-aligned design decisions; be the person they pull into the room when the trade-offs get hard.
Act as a trusted advisor to clients, confidently discussing platform strategy, governance trade-offs, and risk implications with technical leads and executives alike.
Lead or support governance workshops, discovery sessions, and executive briefings; run the room without dominating it.
Translate technical concepts into clear, business-friendly language for leadership and non-technical stakeholders — and the other direction when needed.
Contribute to client deliverables: governance decks, decision logs, intake forms, policy templates, and pragmatic recommendations.