Copilot Studio / Power Platform Engineer (Senior Manager)

The Copilot Studio / Power Platform Engineer will lead the engineering and platform enablement required to deploy enterprise AI solutions securely and at scale. This role focuses on designing, building, and maintaining the environments and infrastructure that support Copilot Studio agents and Power Platform applications. The successful candidate will own development, testing, and production environment architecture, alongside the underlying Azure infrastructure and connector governance. A key priority will be strengthening security through effective identity management, service account governance, and data loss prevention policies. Working closely with solution architects, enablement specialists, and platform administrators, this individual will turn solution designs into reliable, deployable enterprise capabilities. This is a remote, full-time opportunity with flexible location arrangements and up to 25% travel as needed for stakeholder engagement.

• Strong Power Platform administration and architecture experience, including hands-on knowledge of enterprise environment management.

• Microsoft PL-400 (Power Platform Developer) certification strongly preferred; PL-600 (Power Platform Solution Architect) certification considered ideal.

• Working knowledge of Azure fundamentals, including Azure AD, service principals, and managed identities.

• Microsoft AZ-104 (Azure Administrator) or AZ-204 (Azure Developer) certification preferred.

• Practical experience managing Copilot Studio environments, configuring authentication, and deploying agents into production.

• Experience deploying and maintaining the Power Platform Center of Excellence toolkit, including environment strategy, DLP policy configuration, and administrative analytics.

• Strong understanding of connector governance, including certified, premium, and custom connectors.

• Knowledge of service account provisioning, credential rotation, and identity governance for automated workflows.

• Ability to build and maintain secure development, testing, and production environments for enterprise applications and AI solutions.

• Strong collaboration and communication skills, with the ability to work closely with solution architects, platform administrators, and technical stakeholders.

• Flexibility to travel up to 25% as needed for stakeholder engagement.