AI Solutions Developer

Thrive

. Gather requirements, validate defined use cases, and support technical project scoping with clients, Microsoft Advisory, and internal technical stakeholders .

Posted 10/16/2026full-timeRemote • United StatesJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and implementing Microsoft AI solutions using Azure AI Foundry, Azure OpenAI, and Microsoft Fabric, while ensuring compliance with security and governance standards. Proficient in building data pipelines and integrating AI applications with enterprise data sources.

Highest-signal resume keywords

Azure AI FoundryMicrosoft FabricPower PlatformPrompt EngineeringData Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLREST APIsGraph APIData FactoryLakehouseSemantic ModelsAI Solution DevelopmentTechnical Solution DesignIntegration Troubleshooting

Soft Skills

Client-Facing ExperienceCommunication SkillsProblem-Solving

Tools & Technologies

Copilot StudioMicrosoft 365Power BIDataverseSnowflakeDatabricks

Industry Keywords

Data GovernanceSecurity ComplianceEnterprise Data IntegrationAI-Enabled ApplicationsDeployment Procedures

Tech Stack

Tools & technologies

AzurePythonSQL

About the role

Key responsibilities & impact

Gather requirements, validate defined use cases, and support technical project scoping with clients, Microsoft Advisory, and internal technical stakeholders
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 for 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
Connect AI applications, agents, workflows, and copilots to client data sources across Microsoft 365, Fabric, Dataverse, APIs, and approved enterprise systems
Implement solutions within security, governance, identity, permissions, and compliance requirements
Troubleshoot integrations across 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
Move solutions from requirements through design, build, testing, deployment, and support

Requirements

What you’ll need

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
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