Generative AI Architect – Microsoft Copilot Studio & Agent Governance (9+ years exp)
Location: Houston, TX
Contract
Key Responsibilities
· Define enterprise architecture and roadmap for Microsoft Copilot and AI Agent adoption.
· Design, build, and govern AI agents using Microsoft Copilot Studio.
· Establish Agent Governance, Responsible AI, Security, Compliance, and Risk Management frameworks.
· Design multi-agent and agent orchestration solutions for complex business processes.
· Architect Retrieval-Augmented Generation (RAG) solutions leveraging enterprise knowledge sources.
· Define standards and best practices for prompt engineering, agent design, testing, deployment, and lifecycle management.
· Lead Microsoft 365 Copilot implementation and extensibility initiatives.
· Design integrations with Microsoft Graph, Dataverse, Power Platform, ServiceNow, SAP, and other enterprise systems.
· Collaborate with security and compliance teams to implement data protection, access controls, and governance policies.
· Define AI adoption, monitoring, observability, and usage measurement frameworks.
· Provide technical leadership to development teams and review solution designs.
· Drive innovation workshops and identify high-value GenAI use cases across business functions.
· Establish Center of Excellence (CoE) practices for Copilot and Agent development.
Required Skills
Technical Skills
· 8+ years of IT experience with enterprise solution architecture and application development.
· Strong hands-on experience with Microsoft Copilot Studio.
· Experience designing and implementing enterprise AI Agents.
· Deep understanding of Microsoft 365 Copilot architecture and extensibility.
· Strong experience with Power Platform (Power Apps, Power Automate, Dataverse).
· Experience with Azure OpenAI Service and Azure AI Foundry.
· Strong knowledge of RAG architecture and knowledge grounding techniques.
· Experience with Azure AI Search and vector-based search architectures.
· Experience integrating enterprise applications using Microsoft Graph APIs and REST APIs.
· Knowledge of LLMs, Prompt Engineering, Agentic AI patterns, and AI orchestration.
· Understanding of Responsible AI, Security, Compliance, and Data Governance principles.
· Experience with Azure DevOps, CI/CD, and modern cloud architectures.
Preferred Skills
· Experience establishing enterprise-wide AI Governance frameworks.
· Experience leading Microsoft Copilot adoption programs.
· Knowledge of multi-agent architectures and autonomous agent systems.
· Experience with Copilot Analytics, Monitoring, and Cost Governance.
· Exposure to SAP, ServiceNow, Dynamics 365, and Microsoft Fabric integrations.
· Experience defining AI Centers of Excellence (CoE).
· Strong stakeholder management and consulting skills.
Preferred Certifications
· Microsoft Certified: Applied Skills – Build AI Apps with Azure OpenAI
· Azure AI Engineer Associate (AI-102)
· Microsoft Power Platform Solution Architect Expert (PL-600)
· Microsoft Certified: Power Platform Developer Associate (PL-400)
· Microsoft 365 Certified Fundamentals (MS-900)
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