[Hiring] Senior Microsoft AI & Automation Architect @Thrive

Role Description

The Senior Solutions Architect, Microsoft AI & Automation is a hands-on technical leader responsible for designing, building, deploying, and supporting production-ready Microsoft AI, data, workflow, and business application solutions. This role works across Microsoft Fabric, Power Platform, Microsoft 365 Copilot, Copilot Studio, Azure AI Foundry, Azure OpenAI, and related Azure services.

• Translate business requirements into secure, scalable technical solutions.
• Lead delivery from discovery through production deployment.
• Establish reusable engineering standards.
• Serve as a technical escalation point for Microsoft AI Services.

Qualifications

• 5+ years of experience designing or developing Microsoft cloud solutions.
• 3+ years of hands-on experience with Power Platform, including Power Apps and Power Automate.
• Experience deploying and supporting enterprise applications or data workloads in production.
• Hands-on experience with Microsoft Fabric, Copilot Studio, Azure AI Foundry, Azure OpenAI, or closely related Microsoft services.
• Experience integrating systems using REST APIs, Microsoft Graph, connectors, webhooks, or event-driven patterns.
• Strong understanding of Entra ID, managed identities, secrets management, role-based access control, and environment security.
• Working knowledge of Python, SQL, JSON, Git, and modern CI/CD practices.
• Experience working directly with clients and translating business requirements into technical designs.
• Ability to independently lead technical workstreams and communicate effectively with technical and nontechnical audiences.

Requirements

• Design, build, and deploy Microsoft 365 Copilot and Copilot Studio solutions, including agents, actions, connectors, topics, and workflows.
• Develop business applications using Power Apps, Power Automate, Dataverse, and related Power Platform services.
• Integrate Microsoft solutions with SharePoint, Teams, Outlook, Microsoft Graph, Dataverse, APIs, and external business systems.
• Build AI applications and agent-based solutions using Azure AI Foundry and Azure OpenAI.
• Design retrieval-augmented generation (RAG) solutions that securely connect enterprise data to AI experiences.
• Design and deploy Microsoft Fabric environments and workloads.
• Build data pipelines, lakehouses, semantic models, and analytics solutions using Fabric, OneLake, Data Factory, and Power BI.
• Implement appropriate security, identity, governance, lifecycle management, and operational controls across Microsoft data environments.
• Connect Fabric data products to AI agents, workflows, applications, and reporting experiences.
• Establish development, test, and production deployment practices for Microsoft AI and Power Platform solutions.
• Implement source control, CI/CD, release management, environment strategy, monitoring, logging, and support documentation.
• Troubleshoot application, workflow, identity, integration, and data issues across the Microsoft ecosystem.
• Create reusable architectures, templates, accelerators, and deployment procedures for recurring client needs.
• Support production incidents and serve as a senior technical escalation point.
• Lead technical discovery, requirements gathering, solution design, estimation, and implementation planning.
• Present solution architectures and technical recommendations to client and internal stakeholders.
• Lead implementation work from proof of concept through production deployment and operational handoff.
• Mentor consultants and engineers while helping establish Microsoft delivery standards for the AI Services practice.
• Partner with sales, solution architecture, security, service delivery, and client teams to support successful outcomes.

Preferred Qualifications

• Consulting, managed services, or Microsoft partner experience.
• Experience supporting regulated, security-conscious, or multi-client environments.
• Experience packaging repeatable solutions into reusable delivery accelerators.
• Knowledge of application monitoring, cost management, governance, and production support models.
• One or more relevant Microsoft certifications in Power Platform, Azure AI, Microsoft Fabric, Azure development, or Azure architecture.