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SonataOne

Posted 24 Sep 2026

Senior Developer-Copilot Studio

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Employment
Full time
Team
Managed Cloud Services
Posted
24 Sep 2026

About the role

 AI Co-Pilot Developement "Copilot Developer (Copilot Studio) Location: Bangalore/ Hyderabad/ Chennai/ Pune Seniority:  Senior Level Exp:5-8Yrs Notice Period: Immediate 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. Preferred Qualifications • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. • Microsoft certifications in Copilot Studio, Power Platform, Azure AI, or Azure Solutions. • 3+ years of Power Platform development experience. • 1+ years of hands-on Copilot Studio or conversational AI development experience. Typical Interview Questions 1. Explain the architecture of a Copilot Studio agent and its key components. 2. How do you integrate a Copilot Studio agent with external applications using REST APIs? 3. What is the difference between Topics, Actions, Knowledge Sources, and Generative Answers in Copilot Studio? 4. How would you secure a Copilot agent that accesses sensitive enterprise data? 5. Describe a Copilot Studio project you have developed and the challenges you encountered. 6. How would you improve the performance and accuracy of a Copilot agent? 7. Explain how Power Automate can be used to extend Copilot capabilities. 8. How do DLP policies impact Copilot Studio implementations? 9. What are the best practices for prompt engineering and conversation design? 10. How would you troubleshoot a Copilot agent that is returning incorrect or inconsistent responses? Success Criteria • Deliver high-quality Copilot agents that meet business requirements. • Maintain coding, governance, and security standards established by the Architect. • Achieve high user adoption and customer satisfaction. • Ensure reliable production deployments and ongoing support. • Continuously enhance agent capabilities through feedback and analytics. "

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