Sonata Software
Website:
sonata-software.com
Job details:
Copilot Architect (Copilot Studio)
Location: Bangalore/ Hyderabad/ Chennai/ Pune
Seniority: Senior Level
Exp:8-12Yrs
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
- Design, develop, configure, and deploy Copilot Studio agents, topics, actions, and conversational workflows.
- Integrate Copilot agents with enterprise systems using Power Platform connectors, REST APIs, Dataverse, Azure services, and third-party applications.
- Build, test, and optimize prompts, orchestration flows, knowledge sources, and agent responses to improve user experience and accuracy.
- Collaborate with the Copilot Architect to implement platform standards, governance controls, security requirements, and best practices.
- Develop custom integrations using Power Automate, Azure Functions, Logic Apps, and APIs to extend agent capabilities.
- Perform unit testing, troubleshooting, debugging, and performance optimization of Copilot solutions.
- Participate in sprint planning, backlog grooming, demos, and production support activities.
- Create technical documentation, deployment guides, and knowledge-transfer materials.
- Monitor agent performance, user adoption, and usage metrics and recommend continuous improvements.
- 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
- Explain the architecture of a Copilot Studio agent and its key components.
- How do you integrate a Copilot Studio agent with external applications using REST APIs?
- What is the difference between Topics, Actions, Knowledge Sources, and Generative Answers in Copilot Studio?
- How would you secure a Copilot agent that accesses sensitive enterprise data?
- Describe a Copilot Studio project you have developed and the challenges you encountered.
- How would you improve the performance and accuracy of a Copilot agent?
- Explain how Power Automate can be used to extend Copilot capabilities.
- How do DLP policies impact Copilot Studio implementations?
- What are the best practices for prompt engineering and conversation design?
- 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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