Senior Microsoft AI & Automation Architect
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 1d ago
The date the source published, not the day we noticed it (2026-10-15). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United States
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $167.5k–231.5k/yr
Middle 50% of 2282 listings that do state pay — Engineering · Senior · United States · USD/year. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 2h ago · last seen just now
The listing
About Us
Thrive delivers upon the promise of technology by enabling our clients’ digital transformation journeys with best practices on an AI, cybersecurity and cloud focused NextGen managed services platform.
Thrive’s culture is powered by diverse talent, big ideas, and a customer-first mindset—and it’s what truly sets us apart. Thrive is built for people who want more than a weekday routine. If you’re hungry to grow, eager to tackle new challenges and ready to drive real impact in a rapidly expanding environment, then welcome to THRIVE!
Position Overview
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.
The successful candidate will translate business requirements into secure, scalable technical solutions, lead delivery from discovery through production deployment, establish reusable engineering standards, and serve as a technical escalation point for Microsoft AI Services.
Requirements
Microsoft AI and Automation
- 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.
Microsoft Fabric and Data Solutions
- 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.
Production Engineering and Support
- 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.
Client Delivery and Technical Leadership
- 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.
Required 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.
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.