Microsoft AI Solutions Developer
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 $150k–225k/yr
Middle 50% of 4102 listings that do state pay — Engineering · all levels · 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
As a Microsoft AI Solutions Developer, you will build client-facing AI solutions across the Microsoft ecosystem, with a primary focus on Azure AI Foundry, Azure OpenAI, Copilot Studio, Microsoft Fabric, Power Platform, and Microsoft 365 data integration. You will collaborate with Microsoft Advisory to translate defined business outcomes, use cases, governance requirements, and solution priorities into technical solutions that can be built, integrated, deployed, and supported. You will develop custom agents, workflows, data-connected AI solutions, and reusable implementation patterns that help clients securely apply enterprise data to practical AI use cases.
This is a hands-on build role spanning AI solution development, data engineering, workflow automation, and production deployment within Microsoft environments. You will work directly with the Applied AI Technical Lead, Microsoft Advisory, and client stakeholders to move solutions from requirements through design, build, testing, deployment, and support across regulated and mid-market client environments.
Requirements
Responsibilities
- Work directly with clients, Microsoft Advisory, and internal technical stakeholders to gather requirements, validate defined use cases, and support technical project scoping
- Develop custom Microsoft AI solutions using Azure AI Foundry, Azure OpenAI, Copilot Studio, Power Platform, Microsoft Fabric, and Microsoft 365 data sources
- Design, configure, and maintain Microsoft Fabric environments to support AI, analytics, and data integration use cases
- Support onboarding, configuration, and validation of client data sources for AI-enabled use cases
- Build and test data pipelines, semantic models, lakehouse patterns, and retrieval-ready data structures in the Microsoft ecosystem
- Connect AI applications, agents, workflows, and copilots to client data sources across Microsoft 365, Fabric, Dataverse, APIs, and approved enterprise systems
- Implement solutions within defined security, governance, identity, permissions, and compliance requirements
- Troubleshoot integrations between Azure AI services, Microsoft Fabric, Copilot Studio, Power Platform, Microsoft 365, and client data environments
- Create reusable templates, patterns, and accelerators for common client AI use cases
- Document solution architectures, deployment procedures, configuration decisions, and support handoff requirements
Ideal Experience
- 1–2 years of client-facing experience in a technical, consulting, implementation, or delivery role
- 1–4 years of software development, data engineering, automation, or AI solution development experience
- Strong prompt engineering, context engineering, and technical solution design skills for AI-enabled applications
- Hands-on experience with Azure AI Foundry, Azure OpenAI, Copilot Studio, Power Platform, or Microsoft Fabric
- Experience building GPTs, projects, skills, agents, assistants, and workflows
- Experience using Microsoft Fabric components such as lakehouses, warehouses, semantic models, Data Factory, OneLake, Power BI, and data security concepts
- Familiarity with APIs, Model Context Protocol (MCP), and enterprise data integrations
- Familiarity with enterprise data governance, identity, permissions, and secure deployment patterns across Microsoft environments
Nice-to-Have Skills
- Snowflake, Databricks, or other modern data platform experience
- Python, SQL, REST APIs, Graph API, and custom connector development
- Experience deploying AI solutions into production with monitoring, documentation, and support handoff
- Knowledge of security, compliance, and permission models for Microsoft 365, Azure, Fabric, and Power Platform