Power Platform and Copilot Engineer
Role Overview:
We are seeking a hands-on platform administrator and engineer to own the administration, governance, and operationalization of Microsoft Copilot, Copilot Studio, Agent 365, and the Power Platform. This role sits at the intersection of low-code and pro-code, ensuring Copilot and agent solutions are deployed securely, governed consistently, and scaled reliably across the enterprise.
Platforms & Products:
β’ Microsoft Copilot, Copilot Studio, Agent 365
β’ Power Platform (Power Automate, Power Apps, custom connectors)
Key Responsibilities:
Platform Administration (Power Platform & Copilot):
β’ Administer Power Platform environments, DLP policies, capacity, solutions, and Power Automate flows via the Power Platform Admin Center.
β’ Configure and maintain Microsoft Copilot and Copilot Studio environments, including topics, actions/plugins, connectors, publishing, and lifecycle management.
β’ Manage tenant-level AI controls such as data movement, plugin approvals, app permissions, and external data connections.
Governance, Reporting & Audits:
β’ Produce and automate Copilot usage, adoption, and licensing reports using the M365 Admin Center.
β’ Build governance dashboards covering environments, makers, connectors, and DLP violations.
β’ Run periodic audits (access reviews, DLP compliance, plugin approvals, data residency) and track remediation through closure.
Engineering & Automation:
β’ Design and maintain admin automations (e.g., flow governance alerts, environment inventories).
β’ Implement CI/CD pipelines (GitLab) and deployment scripts for solution promotion across Dev/Test/Prod.
β’ Standardize environment provisioning and governance using policy-as-code and scripting (PowerShell/CLI).
Security, Privacy & Compliance:
β’ Apply enterprise security guardrails for agents and Copilot (AuthN/AuthZ, data access controls, approvals).
β’ Partner with security and governance teams to review exceptions and ensure regulatory alignment.
Collaboration & Enablement:
β’ Partner with platform owners, security, data, and product teams to support enterprise AI rollout.
β’ Onboard third-party and internally built agents into Copilot via Agent 365.
β’ Provide Tier-3 platform support and educate makers on safe, scalable design patterns.
β’ Produce clear documentation, runbooks, and admin standards.
Required Skills & Experience:
β’ Strong experience administering Power Platform (environments, DLP, capacity, ALM, Power Automate governance).
β’ Hands-on configuration of Copilot and Copilot Studio (topics, actions/plugins, connectors, publishing).
β’ Experience integrating agents with internal and third-party systems using APIs, connectors, and service endpoints.
β’ Knowledge of agent orchestration, state management, testing, observability, and quality controls.
β’ Ability to bridge low-code and pro-code solutions, integrating Copilot Studio with custom services.
β’ Familiarity with enterprise identity, security, and governance models as applied to AI platforms.
β’ Comfortable with scripting and automation, including CI/CD tooling (GitLab).
β’ Clear communicator with the ability to translate policy into repeatable operational controls
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We are seeking a hands-on platform administrator and engineer to own the administration, governance, and operationalization of Microsoft Copilot, Copilot Studio, Agent 365, and the Power Platform. This role sits at the intersection of low-code and pro-code, ensuring Copilot and agent solutions are deployed securely, governed consistently, and scaled reliably across the enterprise.
Platforms & Products:
β’ Microsoft Copilot, Copilot Studio, Agent 365
β’ Power Platform (Power Automate, Power Apps, custom connectors)
Key Responsibilities:
Platform Administration (Power Platform & Copilot):
β’ Administer Power Platform environments, DLP policies, capacity, solutions, and Power Automate flows via the Power Platform Admin Center.
β’ Configure and maintain Microsoft Copilot and Copilot Studio environments, including topics, actions/plugins, connectors, publishing, and lifecycle management.
β’ Manage tenant-level AI controls such as data movement, plugin approvals, app permissions, and external data connections.
Governance, Reporting & Audits:
β’ Produce and automate Copilot usage, adoption, and licensing reports using the M365 Admin Center.
β’ Build governance dashboards covering environments, makers, connectors, and DLP violations.
β’ Run periodic audits (access reviews, DLP compliance, plugin approvals, data residency) and track remediation through closure.
Engineering & Automation:
β’ Design and maintain admin automations (e.g., flow governance alerts, environment inventories).
β’ Implement CI/CD pipelines (GitLab) and deployment scripts for solution promotion across Dev/Test/Prod.
β’ Standardize environment provisioning and governance using policy-as-code and scripting (PowerShell/CLI).
Security, Privacy & Compliance:
β’ Apply enterprise security guardrails for agents and Copilot (AuthN/AuthZ, data access controls, approvals).
β’ Partner with security and governance teams to review exceptions and ensure regulatory alignment.
Collaboration & Enablement:
β’ Partner with platform owners, security, data, and product teams to support enterprise AI rollout.
β’ Onboard third-party and internally built agents into Copilot via Agent 365.
β’ Provide Tier-3 platform support and educate makers on safe, scalable design patterns.
β’ Produce clear documentation, runbooks, and admin standards.
Required Skills & Experience:
β’ Strong experience administering Power Platform (environments, DLP, capacity, ALM, Power Automate governance).
β’ Hands-on configuration of Copilot and Copilot Studio (topics, actions/plugins, connectors, publishing).
β’ Experience integrating agents with internal and third-party systems using APIs, connectors, and service endpoints.
β’ Knowledge of agent orchestration, state management, testing, observability, and quality controls.
β’ Ability to bridge low-code and pro-code solutions, integrating Copilot Studio with custom services.
β’ Familiarity with enterprise identity, security, and governance models as applied to AI platforms.
β’ Comfortable with scripting and automation, including CI/CD tooling (GitLab).
β’ Clear communicator with the ability to translate policy into repeatable operational controls
Apply tot his job
Apply To this Job