> Markdown version of [/jobs/ext/2694923-senior-solution-architect-agentic-ai-azure-power-platform-remote](https://www.wearedevelopers.com/jobs/ext/2694923-senior-solution-architect-agentic-ai-azure-power-platform-remote). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Solution Architect, Agentic AI (Azure & Power Platform) REMOTE - **Company:** Cognizant Technology Solutions Corporation - **Location:** Topeka, KS, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Software Debugging, Software Deployment, Microsoft Power Automate, Multi-Agent Systems, IT Architecture, Low-code, Virtual Agents - **Published:** September 3, 2026 - **Apply:** https://www.kansasworks.com/jobs/13656786 ## About the Role 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 ## 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. ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Reimagining app development with Low-code and AI](https://www.wearedevelopers.com/videos/1651-reimagining-app-development-with-low-code-and-ai) - [Guiding Agentic AI with Vue](https://www.wearedevelopers.com/videos/2033-guiding-agentic-ai-with-vue) - [Developer Tools for Microsoft Azure](https://www.wearedevelopers.com/videos/450-developer-tools-for-microsoft-azure) - [Coding an Immersive Copilot using Unity / .NET and Azure OpenAI!](https://www.wearedevelopers.com/videos/1204-coding-an-immersive-copilot-using-unity-net-and-azure-openai) - [When Should You Use an Agent? Architectural Trade-offs in Agentic Systems](https://www.wearedevelopers.com/videos/100109-when-should-you-use-an-agent-architectural-trade-offs-in-agentic-systems) ## Related Articles - [What is Agentic Programming and Why Should Developers Care?](https://www.wearedevelopers.com/magazine/625-what-is-agentic-programming-and-why-should-developers-care) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [The Overflow: AI and Agentic Coding](https://www.wearedevelopers.com/magazine/721-the-overflow-ai-and-agentic-coding) - [Everything a Developer Needs to Know About MCP with Neo4j](https://www.wearedevelopers.com/magazine/604-everything-a-developer-needs-to-know-about-mcp-with-neo4j) - [Never delegate the understanding](https://www.wearedevelopers.com/magazine/749-never-delegate-the-understanding)