Virtual Scheduled Interview- Agentic AI & Copilot Developer | 31st Oct

Cognizant; India; Hybrid; INR 1,500,000 - 2,300,000; Full time

Job summary

Cognizant is seeking an AI automation engineer to design and develop intelligent agents using Microsoft Copilot Studio for enterprise automation and conversational AI use cases.

You will build multi-turn dialog flows, integrate with Outlook, Teams, SharePoint, and other Microsoft 365 channels, and connect agents to enterprise data sources for grounded responses. The role emphasizes governance, monitoring, and collaboration with architects to ensure scalable, compliant AI solutions.

Responsibilities

• Design and develop intelligent agents using Microsoft Copilot Studio for enterprise automation and conversational AI use cases.
• Build multi-turn dialog flows, adaptive cards, and topic-based conversation design with fallback and escalation handling.
• Configure and extend agents with custom connectors, Power Automate flows, and REST API integrations for backend orchestration.
• Implement agentic AI workflows using autonomous triggers, action chaining, and goal-based task execution patterns.
• Integrate Copilot Studio agents with Microsoft 365 channels Teams, SharePoint, Outlook, and Power Pages portals.
• Connect agents to enterprise data sources via Microsoft Graph connectors, Dataverse, and third-party APIs for grounded responses.
• Apply Generative AI capabilities within Copilot Studio including generative answers, AI Builder models, and prompt customization.
• Work with Azure AI Foundry / Azure OpenAI Service for custom LLM integrations beyond native Copilot Studio capabilities.
• Configure agent governance — topic-level access control, DLP policies, audit logging, and Purview compliance integration.
• Implement RAG (Retrieval-Augmented Generation) patterns using SharePoint, Dataverse, or Azure AI Search as knowledge sources.
• Design and orchestrate multi-agent workflows using LangChain / LangGraph or Copilot Studio's agent handoff capabilities.
• Monitor agent performance using Copilot analytics, CSAT metrics, and conversation transcripts for continuous improvement.
• Collaborate with enterprise architects to align agent design with M365 Copilot extensibility and organizational AI governance policies.

Job description

Role & responsibilities

• Design and develop intelligent agents using Microsoft Copilot Studio for enterprise automation and conversational AI use cases.
• Build multi-turn dialog flows, adaptive cards, and topic-based conversation design with fallback and escalation handling.
• Configure and extend agents with custom connectors, Power Automate flows, and REST API integrations for backend orchestration.
• Implement agentic AI workflows using autonomous triggers, action chaining, and goal-based task execution patterns.
• Integrate Copilot Studio agents with Microsoft 365 channels Teams, SharePoint, Outlook, and Power Pages portals.
• Connect agents to enterprise data sources via Microsoft Graph connectors, Dataverse, and third-party APIs for grounded responses.
• Apply Generative AI capabilities within Copilot Studio including generative answers, AI Builder models, and prompt customization.
• Work with Azure AI Foundry / Azure OpenAI Service for custom LLM integrations beyond native Copilot Studio capabilities.
• Configure agent governance — topic-level access control, DLP policies, audit logging, and Purview compliance integration.
• Implement RAG (Retrieval-Augmented Generation) patterns using SharePoint, Dataverse, or Azure AI Search as knowledge sources.
• Design and orchestrate multi-agent workflows using LangChain / LangGraph or Copilot Studio's agent handoff capabilities.
• Monitor agent performance using Copilot analytics, CSAT metrics, and conversation transcripts for continuous improvement.
• Collaborate with enterprise architects to align agent design with M365 Copilot extensibility and organizational AI governance policies.