Senior Developer-Copilot Studio

<div> AI Co-Pilot Developement "Copilot Developer (Copilot Studio)</div><div>Location: Bangalore/ Hyderabad/ Chennai/ Pune</div><div>Seniority: Senior Level</div><div>Exp:5-8Yrs</div><div>Notice Period: Immediate</div><div><br /></div><div>Role Summary</div><div>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.</div><div>Key Responsibilities</div><div>1. Design, develop, configure, and deploy Copilot Studio agents, topics, actions, and conversational workflows.</div><div>2. Integrate Copilot agents with enterprise systems using Power Platform connectors, REST APIs, Dataverse, Azure services, and third-party applications.</div><div>3. Build, test, and optimize prompts, orchestration flows, knowledge sources, and agent responses to improve user experience and accuracy.</div><div>4. Collaborate with the Copilot Architect to implement platform standards, governance controls, security requirements, and best practices.</div><div>5. Develop custom integrations using Power Automate, Azure Functions, Logic Apps, and APIs to extend agent capabilities.</div><div>6. Perform unit testing, troubleshooting, debugging, and performance optimization of Copilot solutions.</div><div>7. Participate in sprint planning, backlog grooming, demos, and production support activities.</div><div>8. Create technical documentation, deployment guides, and knowledge-transfer materials.</div><div>9. Monitor agent performance, user adoption, and usage metrics and recommend continuous improvements.</div><div>10. Ensure compliance with Responsible AI, security, privacy, and organizational governance policies.</div><div>Primary Skills</div><div>• Hands-on experience building solutions using Microsoft Copilot Studio.</div><div>• Strong understanding of topics, actions, entities, generative AI capabilities, and knowledge sources.</div><div>• Experience with Power Platform (Power Automate, Power Apps, Dataverse).</div><div>• Strong proficiency in REST APIs, JSON, authentication, and system integrations.</div><div>• Experience with Azure Services such as Azure Functions, Logic Apps, Azure OpenAI, Storage Accounts, and API Management.</div><div>• Good understanding of conversational AI design principles and prompt engineering.</div><div>• Strong troubleshooting, debugging, and problem-solving skills.</div><div>Secondary Skills</div><div>• Experience with C#, JavaScript, TypeScript, or Python.</div><div>• Knowledge of Azure AD / Entra ID, RBAC, Managed Identity, and Key Vault.</div><div>• Understanding of Power Platform governance, DLP policies, and environment management.</div><div>• Experience with Microsoft Graph APIs and M365 integrations.</div><div>• Familiarity with AWS services supporting enterprise AI workloads.</div><div>• Agile/Scrum delivery experience.</div><div>• Exposure to Responsible AI, security compliance, and enterprise architecture standards.</div><div>Preferred Qualifications</div><div>• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.</div><div>• Microsoft certifications in Copilot Studio, Power Platform, Azure AI, or Azure Solutions.</div><div>• 3+ years of Power Platform development experience.</div><div>• 1+ years of hands-on Copilot Studio or conversational AI development experience.</div><div>Typical Interview Questions</div><div>1. Explain the architecture of a Copilot Studio agent and its key components.</div><div>2. How do you integrate a Copilot Studio agent with external applications using REST APIs?</div><div>3. What is the difference between Topics, Actions, Knowledge Sources, and Generative Answers in Copilot Studio?</div><div>4. How would you secure a Copilot agent that accesses sensitive enterprise data?</div><div>5. Describe a Copilot Studio project you have developed and the challenges you encountered.</div><div>6. How would you improve the performance and accuracy of a Copilot agent?</div><div>7. Explain how Power Automate can be used to extend Copilot capabilities.</div><div>8. How do DLP policies impact Copilot Studio implementations?</div><div>9. What are the best practices for prompt engineering and conversation design?</div><div>10. How would you troubleshoot a Copilot agent that is returning incorrect or inconsistent responses?</div><div>Success Criteria</div><div>• Deliver high-quality Copilot agents that meet business requirements.</div><div>• Maintain coding, governance, and security standards established by the Architect.</div><div>• Achieve high user adoption and customer satisfaction.</div><div>• Ensure reliable production deployments and ongoing support.</div><div>• Continuously enhance agent capabilities through feedback and analytics.</div><div><br /></div><div>"</div><div><br /></div>