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Generative AI Architect
Job Location:
Job Location:
Houston, TX - USA
Hourly Salary:
USD 60 - 65
Hourly Salary:
Posted:
17 October 2026 (4 hours ago)
Posted:
Application Deadline:
14 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
PAY RATE : $60-$65 c2c
8 years of Exp
Role: Generative AI Architect Microsoft Copilot Studio & Agent Governance
Experience
8 Years (with strong Microsoft ecosystem experience)
Job Summary
We are looking for an experienced Generative AI Architect with deep expertise in Microsoft Copilot Studio Microsoft 365 Copilot Agentic AI Power Platform and Azure AI Services. The ideal candidate will be responsible for defining the enterprise AI strategy designing and governing AI agents establishing Copilot adEligible to workion frameworks and delivering secure scalable and compliant GenAI solutions across the organization.
The candidate will work closely with business leaders enterprise architects security teams and product owners to design AI-powered experiences implement agent governance models define guardrails and drive enterprise-wide AI transformation initiatives leveraging the Microsoft AI ecosystem.
Key Responsibilities
Define enterprise architecture and roadmap for Microsoft Copilot and AI Agent adEligible to workion.
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 adEligible to workion 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 adEligible to workion 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)
8 years of Exp
Role: Generative AI Architect Microsoft Copilot Studio & Agent Governance
Experience
8 Years (with strong Microsoft ecosystem experience)
Job Summary
We are looking for an experienced Generative AI Architect with deep expertise in Microsoft Copilot Studio Microsoft 365 Copilot Agentic AI Power Platform and Azure AI Services. The ideal candidate will be responsible for defining the enterprise AI strategy designing and governing AI agents establishing Copilot adEligible to workion frameworks and delivering secure scalable and compliant GenAI solutions across the organization.
The candidate will work closely with business leaders enterprise architects security teams and product owners to design AI-powered experiences implement agent governance models define guardrails and drive enterprise-wide AI transformation initiatives leveraging the Microsoft AI ecosystem.
Key Responsibilities
Define enterprise architecture and roadmap for Microsoft Copilot and AI Agent adEligible to workion.
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 adEligible to workion 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 adEligible to workion 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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