Sr. AI Governance Architect

Job Type: FTE
Level: Senior
Department: AI Transformation Group

Location:

Remote (US or Canada)
Rate: $160,000 to $180,000 USD (rates vary in Canada)

Cyclotron’s AI Transformation Group is hiring a Sr. AI Governance Consultant to drive how our enterprise clients govern AI and agents across the entire Microsoft estate. This is a senior, client-facing role that is both broad and deep. You will own AI and agent governance and data governance as your primary disciplines:
Copilot Studio and Agent Builder lifecycle, Agent 365, Microsoft Purview, data readiness for AI, and responsible AI controls. You will also be expected to carry real depth in Power Platform governance and in platform and workload governance across Microsoft 365 and Azure. The right person has designed a governance operating model, sold it to an AI Council or Architecture Review Board, and then configured it in the tenant.

They stood in front of an estate of agents and environments and knew where to start. You will lead engagements, shape scope with our sellers, and raise the bar for the consultants around you. We treat governance not as a brake but as the thing that lets AI scale safely.

• Lead the design and implementation of enterprise AI and agent governance frameworks: target operating model, governance decisions, policies and standards, roles and responsibilities, and a prioritized, adoptable roadmap.
• Govern the full agent lifecycle across Agent Builder, SharePoint agents, Copilot Studio, Frontier agents, and Copilot connectors: intake and registration, routing criteria (Agent Builder vs. Copilot Studio), maker access and publishing models, production promotion checkpoints, ownership change, monitoring, and retirement.
• Design Agent 365 governance: agent identity boundaries, policy, monitoring, audit, and alignment with Microsoft Defender, Purview, and Entra .
• Define Copilot Studio-specific security and DLP controls (event triggers, channels, knowledge sources, HTTP requests, Graph and federated connectors), along with credit consumption and capacity guardrails.
• Stand up and formalize AI Centers of Excellence: agent lifecycle and connectors, monitoring and reporting, audit and compliance roles, review cadences (for example, Agent Insights and monthly usage reviews), and escalation into existing ARB and AI Council structures.
• Map responsible AI and regulatory expectations (NIST AI RMF, ISO/IEC 42001, EU AI Act, industry-specific requirements) into practical controls, evaluation gates, and audit evidence.

• Lead data governance work streams in Microsoft Purview and Fabric: catalog, lineage, classification, data quality, sensitivity labeling, and data product ownership.
• Assess data readiness for AI: data estate assessments, oversharing risk in SharePoint and One Drive, grounding and knowledge source governance for agents, and the data controls needed before Copilot and agents go broad.
• Design Purview protections for AI (DSPM for AI, DLP, information protection, retention, audit) and coordinate them with Power Platform and Copilot Studio policy.
• Govern Dataverse and Dataverse-to-Fabric patterns so agent and app data stays classified, owned, and auditable.

• Design environment strategy and landing zones: tiered and functional environments, environment groups, Development to Stage/UAT to Production models, naming, ownership, and provisioning standards.
• Design classic and advanced DLP and connector classification, run impact analysis against existing resources, and remediate without breaking the business.
• Own ALM and deployment governance: solution packaging, versioning, environment variables, Power Platform Pipelines and Azure Dev Ops approval gates,…