AI AGENT - Copilot , Azure AI

Role Overview 

We are seeking a mid-level developer to design and implement agentic AI solutions using Microsoft Copilot Studio. This role focuses on building custom copilots, integrating enterprise knowledge sources, orchestrating multi-step agent workflows, connecting with Azure AI search and applying Application Lifecycle Management (ALM) best practices for scalable deployments. 

Roles & Responsibilities 

• Copilot Studio Development 
• Build and configure custom copilots, topics, tools, and knowledge sources. 
• Implement agent flows using Power Automate and custom APIs. 
• Integrate connectors (prebuilt and custom) for enterprise systems (Dynamics, SAP, ServiceNow). 
• Agentic Orchestration 
• Apply orchestration patterns (task decomposition, multi-step flows, fallback/error handling). 
• ALM & Governance 
• Package copilots and flows into Solutions for dev/test/prod environments. 
• Power Platform pipelines or Azure DevOps/GitHub for CI/CD. 
• Manage environment variables, connection references, and Dataverse dependencies. 
• Observability & Compliance 
• Ensure data residency, DLP policies, and secure API authentication. 

Preferred Qualifications

• Azure AI Search Integration 
• Design and implement hybrid/vector retrieval pipelines for enterprise RAG scenarios. 
• Configure semantic index and secure knowledge grounding for copilots. 
• Implement monitoring via Azure Application Insights and enforce Responsible AI principles. 
• Working with Dataverse and Power Platform ALM and governance. 
• Implementing observability (Azure Monitor, App Insights). 
• Exposure to Responsible AI principles and enterprise compliance frameworks. 
• Familiarity with Agent Factory or similar operationalization frameworks. 
• Microsoft certifications in Power Platform, Azure AI, or Copilot Studio (preferred).

Required Technical Skills 

• Copilot Studio: Authoring topics, tools, connectors, and multi-channel deployment. 
• Power Automate: Flow design, HTTP actions, Custom connectors, throttling/timeouts handling. 
• Azure AI Search: Hybrid/vector retrieval, enrichment, reranking, and integration with copilots. 
• ALM (Power Platform): Solutions, managed/unmanaged environments, CI/CD pipelines. 
• Security & Governance: AAD/Entra authentication, environment variables, DLP policies.