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Senior Developer-Copilot Studio

Sonata Software

Skills

Required

  • Copilot Studio
  • building solutions
  • generative AI
  • Platform
  • Automate
  • Dataverse
  • REST APIs
  • JSON
  • authentication
  • Azure Functions
  • Azure
  • C# / JavaScript / TypeScript / Python

Preferred

  • Copilot
  • Power Platform
  • AI / Azure Solutions
  • conversational AI development

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.

The role requires hands-on development expertise, integration skills, and a strong understanding of Microsoft's AI and Power Platform ecosystem.

Responsibilities

  • 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.
  • 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.
  • Ensure compliance with Responsible AI, security, privacy, and organizational governance policies.
  • 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?
  • How would you improve the performance and accuracy of a Copilot agent?

Requirements

  • 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.
  • 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.
  • 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?
  • 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. "

Typical Interview Questions 1.