Senior AI Copilot Engineer

Key Responsibilities Design, build, and deploy custom Copilot agents using Microsoft Copilot Studio and Azure AI Foundry. Architect and implement AI solutions that integrate enterprise data, applications, and workflows across Microsoft 365, SharePoint, and Power Platform. Develop custom connectors, grounding data pipelines, and AI orchestration logic to extend Copilot capabilities. Leverage Azure OpenAI, Azure Cognitive Search, and Azure AI Services to deliver retrieval-augmented generation (RAG) based agent solutions. Build and optimize prompt flows, semantic memory, and contextual grounding for AI agents. Build Power Apps, including model-driven and canvas applications. Develop automation workflows using Power Automate (Flows) integrated with AI and enterprise data sources. Understand and implement agent-to-agent communication frameworks such as A2A and MCP Collaborate with business teams to identify use cases and translate them into scalable AI applications. Develop proofs of concept (POCs) and AI prototypes that demonstrate business value. Ensure compliance with Responsible AI, data security, and governance standards. Monitor, evaluate, and continuously improve the performance, accuracy, and usability of Copilot agents and AI solutions. Partner with Microsoft platform owners, data engineers, and solution architects to operationalize and scale AI initiatives. Qualifications Experience Bachelor s degree in computer science, AI/ML, Engineering, or related discipline 5 8 years of experience in AI solution development, Microsoft Cloud engineering, or automation platforms. Proven experience with: Microsoft Copilot Studio (Power Virtual Agents, conversational design, orchestration). Azure AI Foundry and Azure OpenAI (model deployment, prompt optimization, content grounding). Azure Cognitive Services (Search, Language, Vision, Speech, etc. ). Microsoft Graph, SharePoint REST APIs, and Teams integrations. Power Platform (Power Automate, Power Apps, Power BI, Dataverse). Strong understanding of AI architecture patterns, including RAG, prompt chaining, and function calling. Understand and implement agent-to-agent communication frameworks such as A2A and MCP Experience with Python, C#, React or TypeScript for building integrations and APIs. Familiarity with vector databases and semantic search technologies. Excellent analytical, problem-solving, and communication skills. Ability to collaborate with business stakeholders to translate needs into AI-powered Copilot experiences. Extensive experience with Power Apps, Power Automate, and custom Power Platform connectors. Proficiency in SPFx (SharePoint Framework) development and Microsoft Graph integrations. Experience building Copilot extensions, Graph connectors, and custom copilots for enterprise workflows. Knowledge of Responsible AI principles, prompt evaluation, and AI governance frameworks. Familiarity with MLOps, Azure AI Studio, Azure Dev Ops and model lifecycle management.