Senior AI Governance Engineer

Accountabilities:

• Design and implement enterprise-grade governance frameworks for Power Platform and Copilot Studio, including environment strategy, DLP policies, identity controls, and lifecycle management.

• Define operating models, guardrails, and standards that enable scalable and secure adoption of Microsoft AI and automation platforms.

• Assess client maturity and develop governance roadmaps aligned with business objectives, risk requirements, and adoption readiness.

• Provide technical leadership across Power Apps, Power Automate, Dataverse, Copilot Studio agents, and ALM practices including DevOps integration.

• Review platform configurations to ensure scalability, security, compliance, and operational resilience in production environments.

• Support solution architects and engineering teams in making governance-aligned design decisions across complex implementations.

• Lead governance workshops, executive briefings, and advisory sessions with both technical and business stakeholders.

• Deliver client-ready artifacts such as governance documentation, policy frameworks, decision logs, and implementation recommendations.

Requirements:

• 5+ years of enterprise experience working with Microsoft platforms, including significant exposure to Power Platform governance, architecture, or administration.

• Strong hands-on expertise with Power Platform (Power Apps, Power Automate, Dataverse, and Power Platform Admin Center).

• Proven experience designing and implementing governance frameworks, including environment strategy, DLP policies, and managed environments at enterprise scale.

• Practical experience with Copilot Studio, including agent lifecycle management, publishing, and security considerations.

• Strong understanding of identity and security concepts such as Entra ID, RBAC, conditional access, and auditability.

• Ability to engage confidently with executive and technical stakeholders, translating complex governance topics into business-relevant insights.

• Familiarity with ALM practices and pro-code extensions such as Azure Functions, Logic Apps, custom connectors, and DevOps pipelines is a plus.

• Exposure to Center of Excellence (CoE) models and enterprise adoption frameworks is strongly preferred.

• Consulting or client-facing experience with strong communication and advisory skills.

Benefits:

• Competitive salary range: $130,000 – $155,000 USD (location-dependent in Canada)

• Remote-first work model across the United States and Canada

• Opportunity to work on cutting-edge Microsoft AI and automation platforms

• High-impact client-facing role with enterprise-level strategic influence

• Collaborative environment with senior technical experts and architects

• Exposure to advanced AI ecosystems including Microsoft, OpenAI, and Anthropic technologies

• Professional growth opportunities in a fast-evolving AI governance and engineering practice.

How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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