Custom Software Engineering Lead

Project Role : Custom Software Engineering Lead Project Role Description : Own the technical direction and architecture of custom software solutions, leading teams through design and delivery. Set development standards and ensure code quality, scalability, and performance aligned to business objectives. Must have skills : Microsoft Copilot Studio Good to have skills : Microsoft Azure PaaS, React.js, Microsoft Power Apps Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Role Summary Builds, configures, and publishes Copilot Studio agents end-to-end — designing topics, knowledge sources, and generative answers, and extending agent capabilities through Power Automate, MCP Server tool connections, and Azure AI Foundry-hosted models where needed. Key Responsibilities Design and build Copilot Studio agents, including topics, trigger phrases, entities, variables, and conversation/agent flows. Configure generative orchestration, knowledge sources, and generative answers to ground agent responses accurately. Build and maintain Power Automate flows to extend agent actions, handle backend processes, and connect to line-of-business systems. Implement and consume MCP Server tool/plugin connections to extend agent capabilities beyond native Copilot Studio actions. Configure and test agent publishing across channels (Teams, web, custom apps) and manage environment/ALM practices (dev-test-prod). Tune agent behavior, instructions, and prompts within Copilot Studio use Azure AI Foundry for advanced model selection or custom grounding (e.g., RAG) when native capabilities aren't sufficient. Conduct unit-level testing of topics, flows, and tool integrations troubleshoot conversational breakdowns and connector/plugin issues. Apply responsible AI practices, including bias, safety, and hallucination checks, during agent development. Collaborate with Architect/Team Lead on agent design, security, and ALM alignment participate in code/config reviews. Required Skills & Experience Strong development experience, with strong hands-on expertise in Copilot Studio (topics, generative orchestration, knowledge sources, publishing, and ALM). Working knowledge of Power Automate for flow-based automation and integration with Copilot Studio agents. Experience configuring MCP Server/tool connections to extend agent actions. Working familiarity with Azure AI Foundry for model selection, prompt engineering, and grounding patterns (RAG, agentic workflows) as a supporting skill. Understanding of responsible AI principles and bias/safety validation practices. Agile delivery experience preferred strong debugging and conversational-flow troubleshooting skills. 15 years full time education Important Notice We have been alerted to the existence of fraudulent messages asking job seekers to set up payment to cover various costs associated with establishing employment at Accenture. No one is ever required to pay for employment at Accenture. If you are contacted by someone asking for payment, please do not respond, and contact us at india.fc.check@accenture.com immediately. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.