Senior Solution Architect, Agentic AI (Azure & Power Platform) REMOTE

Cognizant Technology Solutions Corporation
Topeka, KS, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours

Tech stack

Artificial Intelligence Microsoft Azure Software Debugging Software Deployment Microsoft Power Automate Multi-Agent Systems IT Architecture Low-code Virtual Agents

Job description

Cognizant’s Intelligent Automation Practice is seeking a Senior Architect to design and deliver enterprise-grade agentic AI solutions. You will define reference architectures spanning pro-code agentic systems on Azure AI Foundry and low-code automation on Microsoft Power Platform and Copilot Studio - selecting the right pattern and platform for each use case and translating complex business requirements into production-ready intelligent agent solutions., Design end-to-end reference architectures for agentic AI - covering agent topology, tool integration, memory, knowledge retrieval, and deployment across pro-code and low-code platforms.

  • Select and justify the appropriate agentic pattern - RAG retrieval, multi-agent handoff, reasoning loops, A2A workflows, or low-code automation - based on use-case requirements and team capabilities.

  • Lead engineering teams from local development and debugging through production deployment on Azure AI Foundry or Power Platform.

  • Guide platform and framework selection - Microsoft Agent Framework, Copilot Studio, Power Automate, LangGraph - with clear trade-off rationale per engagement.

  • Serve as the primary AI architecture authority in client engagements: discovery workshops, architecture reviews, and technical roadmap sessions.

  • Develop reusable practice IP: reference architectures, playbooks, and accelerators for rapid agentic PoC delivery.

  • Embed responsible AI guardrails, production readiness standards, and evaluation frameworks across all agentic deployments.

Requirements

Experience designing agentic patterns including RAG retrieval pipelines, multi-agent orchestration, reasoning and reflection loops, multi-turn conversation design, and agent-to-agent (A2A) communication.

  • Hands-on with Azure AI Foundry - Agent Service, Model Catalog, Playground, Foundry IQ knowledge bases, evaluation tooling, and connected resources.

  • Working knowledge of Microsoft Agent Framework (MAF) for multi-agent handoff workflows, tool integration, and hosted agent deployment on Azure.

  • Experience with Copilot Studio for building conversational agents and automations, and Power Platform architecture including Power Automate, Power Ap

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