Custom Software Engineering Lead

Overview

Own the end-to-end solution architecture for Copilot Studio agents, providing technical direction and design assurance to the development team.

What you'll do

• Define the agent architecture for each use case, including topics, generative orchestration, knowledge sources, and agent/conversation flows.
• Decide when native Copilot Studio capabilities are sufficient and when to use Azure AI Foundry for advanced model selection or custom grounding (e.g., RAG, agentic workflows).
• Design Power Automate flows and MCP Server tool/plugin connections to extend agent actions and integrate with line-of-business systems.
• Establish security, authentication, data access, and governance guardrails for agents and their connected systems.
• Define environment strategy and ALM practices (dev-test-prod), solution packaging, and publishing across channels (Teams, web, custom apps).
• Set responsible AI standards, including bias, safety, and hallucination validation, and embed them in the design and test approach.
• Provide design authority across the team: review designs, configurations, and flows, and resolve complex technical issues.
• Guide agent instruction and prompt tuning approaches to improve accuracy and consistency.
• Collaborate with the Project Manager, Business Analyst, and client stakeholders to translate requirements into a practical solution approach.
• Mentor Team Leads and developers on Copilot Studio best practices.

What you'll need

• Must have: Microsoft Copilot Studio
• Minimum 7.5 years of experience
• 15 years full time education
• Extensive experience designing enterprise solutions on the Microsoft Power Platform, with strong hands-on expertise in Copilot Studio architecture (generative orchestration, knowledge sources, publishing, ALM, governance).
• Strong working knowledge of Power Automate and integration patterns with Copilot Studio agents.
• Experience designing and configuring MCP Server/tool connections to extend agent actions.
• Working knowledge of Azure AI Foundry for model selection, prompt engineering, and grounding patterns (RAG, agentic workflows).
• Solid understanding of security, authentication, and data governance for AI agents.
• Understanding of responsible AI principles and bias/safety validation practices.
• Strong stakeholder communication and technical leadership skills.

Nice to have

• Good to have: Microsoft Foundry, React.js, .Net Full Stack Development
• Agile delivery experience

Details

• Location: Pune
• Full-time education requirement: 15 years