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GF EngineeringPosted 1 week ago

Microsoft 365 Copilot & Collaboration Engineer

$104,000–$208,000 year

On-siteAustin, Texas, United States

Full TimeSenior LevelSmall

Job Summary

Design and maintain Copilot agents using Copilot Studio and pro-code methods, including custom connectors and API integrations. Define governance policies for agents and Power Platform environments aligned with enterprise security standards. Administer Power Platform environments, enforce Data Loss Prevention policies, and monitor tenant compliance and health. Manage application lifecycle management and deployment pipelines for agents across Managed Environments. Partner with Security teams to package audit evidence and remediate findings. Build analytics dashboards to track adoption and usage metrics. Support and troubleshoot Copilot and Power Platform services, focusing on agent lifecycle and operational excellence. Develop enablement materials to accelerate secure AI adoption across the enterprise.

Required Qualifications

  • 4–7 years of experience in Microsoft 365 engineering with hands-on Power Platform administration
  • Hands-on experience operating Copilot Studio to governance standards and managing ALM in Managed Environments
  • Experience implementing security-aligned governance (sensitivity labels, DLP, auditing) and compliance frameworks
  • Proven experience supporting and troubleshooting Microsoft 365 Copilot, Copilot Studio, and Power Platform, including agent lifecycle management, deployment pipelines, and operational excellence
  • Proficiency with pro-code development (e.g., Power Fx, JavaScript/TypeScript, REST APIs, and/or C#) for building connectors and extensions
  • Working knowledge of SharePoint architecture, Teams integration, and Viva Suite configuration
  • Strong communication skills and a track record of partnering with business stakeholders in a large, global enterprise
  • Bachelor's degree in Computer Science, Information Systems, or a related technical discipline, or equivalent practical experience

Desired Qualifications

  • Experience with AI-driven productivity and automation tools, including emerging integration options such as MCP (Model Context Protocol)
  • Familiarity with enterprise governance frameworks and security best practices (e.g., Microsoft Purview, Microsoft Entra ID, Zero Trust)
  • Microsoft certifications such as PL-600, PL-400, PL-200, or MS-102
  • Experience with Azure services, Dataverse, and Power Automate cloud flows

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