Microsoft Copilot Studio Developer

Role: Microsoft Copilot Studio Developer
Location: Minnesota
Power Platform | Azure AI | Generative AI | AI-driven Analytics | Enterprise Integration
Job Summary
Experienced Microsoft Copilot Studio Developer with strong expertise in Power Platform, Co-work, Azure AI, Generative AI, and enterprise integrations.
Responsible for designing, developing, integrating, deploying, and supporting enterprise-grade AI agents and intelligent automation solutions.
Works with business, product, architecture, security, and engineering teams to deliver secure, scalable, and production-ready AI-powered solutions.
Key Responsibilities
AI Agent Development: Design, build, test, and deploy Copilot Studio agents with topics, actions, knowledge sources, generative answers, fallback handling, reusable skills, agent instructions, and tool/action definitions.
Generative AI: Implement prompt engineering, grounding, RAG, and enterprise knowledge integration to improve response accuracy and relevance.
Power Platform: Build workflow automation and business applications using Power Automate, Power Apps, Dataverse, custom connectors, Power Platform solutions, and Microsoft 365 services.
AI-driven Data Analytics: Build AI-assisted analytics solutions using Power BI, Microsoft Fabric, semantic models, DAX measures, natural language Q&A, AI-powered insights, anomaly detection, and executive data storytelling.
Integration: Integrate Copilot solutions with REST APIs, custom connectors, Microsoft Graph, Teams, SharePoint, Microsoft 365, and enterprise data platforms.
Azure AI: Integrate with Azure OpenAI, Azure AI Services, Azure AI Search, Azure Functions, and related Azure services.
Security, Governance & Responsible AI: Apply Entra ID authentication, OAuth 2.0, RBAC, managed identities/service principals, DLP policies, connector governance, privacy, compliance, prompt-injection mitigation, data-leakage prevention, groundedness evaluation, content safety, and escalation patterns.
ALM, Testing & Production Support: Manage solutions, environments, connection references, regression testing, UAT support, production readiness validation, monitoring, logging, documentation, troubleshooting, and production support.
Required Skills and Experience
Hands-on experience delivering production-ready Copilot Studio solutions or enterprise conversational AI applications.
Strong working knowledge of Co-work, Power Platform, including Power Apps, Power Automate, Dataverse, custom connectors, Power Platform solutions, environment management, connection references, and ALM.
Strong understanding of Generative AI, LLM concepts, prompt engineering, RAG, grounding, agent orchestration, and AI response evaluation.
Working knowledge of AI-driven analytics, including Power BI, Microsoft Fabric, semantic models, DAX, SQL analytics, dashboards, natural language Q&A, AI-assisted insights, anomaly detection, and data storytelling.
Experience integrating enterprise systems using REST APIs, Microsoft Graph, custom connectors, authentication patterns, and Microsoft 365 services.
Knowledge of security, governance, and observability practices, including DLP policies, connector governance, OAuth 2.0, RBAC, managed identities/service principals, Application Insights, Azure Monitor, Copilot analytics, logging, and production support.
Ability to define and execute test cases for agent conversations, topics, actions, response quality, groundedness, regression testing, UAT support, and production readiness validation.
Ability to create technical design, integration, deployment, and support documentation.
Good-to-Have Skills
Exposure to Adaptive Cards, Teams app integrations, SharePoint Online, and Microsoft 365 extensibility.
Exposure to Power Platform CLI, Power Platform Pipelines, GitHub Actions, or deployment automation practices.
Advanced knowledge of Microsoft Fabric Lakehouse/Warehouse concepts, OneLake, Dataflows Gen2, governance, data quality, lineage, and access-control patterns.
Exposure to GitHub Copilot, GitHub Copilot Enterprise, Copilot extensions, MCP-based integrations, agent evaluation harnesses, and developer productivity tooling.
Key Competencies
Strong analytical, problem-solving, and troubleshooting mindset.
Ability to own technical delivery from requirements analysis through production deployment.
Strong understanding of enterprise integration, security, governance, and scalable solution design.
Effective communication with technical and non-technical stakeholders.