Job
Description
Job TitleSenior Copilot Studio Developer Job TypeFull-time About The Role We are seeking an experienced Senior Copilot Studio Developer to join our team and lead the design, development, and deployment of enterprise-grade conversational AI solutions using Microsoft Copilot Studio. The ideal candidate will have 6 to 8 years of experience, with a deep specialization in building intelligent copilot agents, integrating them with various Microsoft services (Power Platform, Dynamics 365, Azure), and enhancing business processes. This role requires a blend of strong development skills, conversational design expertise, and a passion for leveraging the latest AI capabilities to create seamless and eective user experiences, while adhering to Responsible AI principles. Key Responsibilities Lead the end-to-end design, development, and deployment of complex virtual agents (copilots) using Microsoft Copilot Studio. Develop custom actions and backend integrations using Power Automate and Azure services (e.g., Azure Functions, Azure Bot Service) to connect copilots to internal and external systems (REST/SOAP APIs, databases). Implement advanced conversational design features, including natural language understanding (NLU) optimization, topic creation, entity management, and adaptive card usage. Design and implement Agentic AI workows, including multi-agent orchestration and reasoning/decision engines, to handle complex, multi-step business processes autonomously. Integrate copilots with various channels such as Teams, websites, mobile apps, and Dynamics 365. Work closely with Business Analysts and Stakeholders to gather requirements and translate them into technical designs and scalable conversational ows. Monitor, test, and optimize copilot performance, analysing conversation transcripts to identify opportunities for improvement and enhance user satisfaction. Manage the entire ALM (Application Lifecycle Management) for copilot solutions, utilizing tools like GitHub or Azure DevOps for source control and CI/CD pipelines. Ensure all AI solutions comply with Responsible AI principles, including data privacy, bias mitigation, and content ltering, utilizing tools like Microsoft Purview. Provide technical guidance and mentorship to junior developers on Copilot Studio best practices, coding standards, and complex integrations. Maintain comprehensive documentation for all developed copilot solutions and integration points. Required Skills & Experience 6-8 years of hands-on experience in software development, with a minimum of 3+ years specializing in designing and developing conversational AI solutions. Expert-level prociency with Microsoft Copilot Studio (Power Virtual Agents) and its integration capabilities within the Microsoft Power Platform ecosystem. Strong experience developing Power Automate ows (cloud and desktop) for complex data retrieval and transaction processing within a copilot. Advanced skills in JavaScript/TypeScript or C# for developing custom actions, Azure Functions, and integrating with web services (REST/SOAP). Deep hands-on experience with Generative AI (GenAI) features within Copilot Studio, including advanced prompt engineering, grounding with enterprise data (via Azure AI Search/Microsoft Graph), and managing response quality. Solid understanding of Azure services relevant to bot development (e.g., Azure Cognitive Services, Azure Bot Service, Azure OpenAI Service). Experience with Dataverse and its integration with Copilot Studio and Power Automate. Proven ability to manage application lifecycle using ALM tools (e.g., solution management in Power Platform, Azure DevOps/GitHub). Strong understanding and application of AI Governance, including data retention policies, security controls, and adherence to Microsoft's Responsible AI standards. (Preferred) Microsoft Power Platform Developer and AI Engineer certications. Soft Skills Excellent verbal and written communication skills to articulate complex technical concepts to non-technical stakeholders. Strong analytical and problem-solving abilities with a meticulous attention to detail. Ability to collaborate e assigned tasks. ectively in a team environment and work independently on Proactive mindset for continuous learning and rapid adaptation to new Generative AI models and platform updates. Agile and adaptable in a fast-paced, client-focused environment.
