Copilot Developer

Role & responsibilities

Role Summary

The Copilot Developer is responsible for designing, building, testing, and supporting AI-powered agents using Microsoft Copilot Studio. Working closely with the Copilot Architect and Business Analyst, the developer translates business requirements into scalable, secure, and user-friendly copilots while adhering to enterprise governance and platform standards. The role requires hands-on development expertise, integration skills, and a strong understanding of Microsoft’s AI and Power Platform ecosystem.

Key Responsibilities

1. Design, develop, configure, and deploy Copilot Studio agents, topics, actions, and conversational workflows.
2. Integrate Copilot agents with enterprise systems using Power Platform connectors, REST APIs, Dataverse, Azure services, and third-party applications.
3. Build, test, and optimize prompts, orchestration flows, knowledge sources, and agent responses to improve user experience and accuracy.
4. Collaborate with the Copilot Architect to implement platform standards, governance controls, security requirements, and best practices.
5. Develop custom integrations using Power Automate, Azure Functions, Logic Apps, and APIs to extend agent capabilities.
6. Perform unit testing, troubleshooting, debugging, and performance optimization of Copilot solutions.
7. Participate in sprint planning, backlog grooming, demos, and production support activities.
8. Create technical documentation, deployment guides, and knowledge-transfer materials.
9. Monitor agent performance, user adoption, and usage metrics and recommend continuous improvements.
10. Ensure compliance with Responsible AI, security, privacy, and organizational governance policies.

Primary Skills

• Hands-on experience building solutions using Microsoft Copilot Studio.
• Strong understanding of topics, actions, entities, generative AI capabilities, and knowledge sources.
• Experience with Power Platform (Power Automate, Power Apps, Dataverse).
• Strong proficiency in REST APIs, JSON, authentication, and system integrations.
• Experience with Azure Services such as Azure Functions, Logic Apps, Azure OpenAI, Storage Accounts, and API Management.
• Good understanding of conversational AI design principles and prompt engineering.
• Strong troubleshooting, debugging, and problem-solving skills.

Secondary Skills

• Experience with C#, JavaScript, TypeScript, or Python.
• Knowledge of Azure AD / Entra ID, RBAC, Managed Identity, and Key Vault.
• Understanding of Power Platform governance, DLP policies, and environment management.
• Experience with Microsoft Graph APIs and M365 integrations.
• Familiarity with AWS services supporting enterprise AI workloads.
• Agile/Scrum delivery experience.
• Exposure to Responsible AI, security compliance, and enterprise architecture standards.