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Remote · Technology

Microsoft AI Solutions Developer

ThriveUnited StatesFull-timeSalary not listed · Typical pay in United StatesPosted Oct 17, 2026Closes Dec 16, 2026

Thrive is hiring for the position of Microsoft AI Solutions Developer as a remote role open to applicants in United States. It is listed as a full-time position.

Written by Dev Global Jobs

DGJ summary of this job

Our own short read of this listing, built only from the facts it gives. The employer’s original text follows further down.

Thrive is hiring for the position of Microsoft AI Solutions Developer as a remote role open to applicants in United States. It is listed as a full-time position.

Reading the advert, the employer asks for 1 to 2 years of experience.

Skills and tools named in the text include Python, SQL, Snowflake, Databricks, Power BI, Azure and REST.

No salary is given in this listing, so check the official pay figures in the DGJ Insight section below where they exist.

Dev Global Jobs found this job on Himalayas on Oct 17, 2026; applications close on Dec 16, 2026.

Employer
Thrive
Location
Remote (United States)
Job type
Full-time
Pay
Not stated by the employer
Experience asked
1 to 2 years
Found
Oct 17, 2026 on Himalayas
Closes
Dec 16, 2026
Employer text
559 words, about 3 min to read
Skills named in the advert
PythonSQLSnowflakeDatabricksPower BIAzureREST
Before you apply
  • Apply only on the official page (himalayas.app). Dev Global Jobs is not the employer and never asks for a fee.
  • Compare your own experience with the 1 to 2 years the advert asks for, and show it clearly near the top of your CV.
  • Mirror the skills the advert names (Python, SQL, Snowflake and Databricks) in your CV where you really have them; applicant tracking systems look for these words.
  • Plan to apply before Dec 16, 2026.
  • Read the employer’s full text below (about 3 min) before you apply.
  • Build or check your CV with the free DGJ CV Builder.
Only on Dev Global Jobs

DGJ Insight

Our own data about this role and place, from official statistics and our live job index.

Updated Nov 9, 2026
Pay benchmark
Average wage, United States
$86,977 average / year

Source: OECD Average annual wages, 2025

Job description

About the role

Full text from the employer, as published on Himalayas, arranged into sections. Nothing added or removed.

01About 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!

02Position 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.

03Responsibilities

  • 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

04Ideal 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

05Nice-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

Originally posted on Himalayas

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