Live opening · Posted 1 day ago

Agentic AI & Copilot Developer

Cognizant · Chennai, Tamil Nadu, India (Hybrid)
Linkedin Hybrid
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyCognizant
LocationChennai, Tamil Nadu, India (Hybrid)
Work modeHybrid
SkillsAzure
SourceLinkedin
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

Position: Agentic AI & Copilot Studio Developer
Location: Pan India
Total Exp: 3 to 9 Yrs
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.

Work arrangement
Hybrid

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