What are the responsibilities and job description for the MS Copilot Studio Solution Architect & Governance Lead position at Accion Labs?
Role: MS Copilot Studio Solution Architect & Governance Lead
Location: Chicago, Illinois
Design and implement Copilot Studio environment architecture, configuration, deployment, and migration strategies.
Establish security, Data Loss Prevention (DLP), connector governance, access controls, and platform standards.
Define and implement application lifecycle management (ALM), release management, monitoring, and reporting capabilities.
Provide hands-on technical leadership, configuration, troubleshooting, and development of enterprise assistant agents.
Evaluate Microsoft platform updates and help automate change-impact assessments, governance reviews, and release notifications.
Guide the existing team on architecture decisions, Microsoft best practices, and the longer-term enterprise Copilot roadmap.
Must-Have Qualifications
8–10 years of Microsoft technology experience, with strong hands-on expertise in Power Platform and Microsoft Copilot Studio.
Proven experience architecting, configuring, and deploying Copilot Studio solutions in enterprise production environments.
Strong knowledge of Power Platform Admin Center, Power Automate, Dataverse, environment management, and connector configuration.
Hands-on experience implementing DLP policies, security controls, authentication, and Microsoft Entra ID integrations.
Experience with ALM, CI/CD, solution deployment, environment migrations, and production support.
Demonstrated ability to build, deploy, and troubleshoot AI-powered assistant agents.
Strong stakeholder communication skills and ability to operate as both a solution architect and hands-on implementation lead.
Preferred Qualifications
Experience with Microsoft 365 Message Center, Microsoft Graph APIs, and automation of platform-change monitoring.
Knowledge of Copilot licensing, credit consumption, capacity management, and usage governance.
Familiarity with Azure AI services, Azure OpenAI, GitHub, and Azure DevOps.
Understanding of GenAI, RAG, autonomous agents, and agent orchestration.
Experience delivering enterprise AI solutions in healthcare or other regulated industries.
Relevant Microsoft certifications, such as PL-600 or PL-400.