Minimum Required Experience : 3 years

Full Time

Skills

Azure Ai

Power Automate

Mcp Servers

Copilot Studio

Description

Copilot Studio JD

Role Summary - Builds, configures, and publishes Copilot Studio agents end-to-end — designing topics / skills, 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, skills, 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 setting/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 on agent design, security, and ALM alignment; participate in code/config reviews.

Required Skills & Experience
Solid development experience, with solid 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.

📌 Lead Engineer Microsoft Power Platform Bengaluru (India)
🏢 NeST Digital
📍 India