Microsoft AI Solutions Developer
New
T
ThriveAI managed services
United StatesFull-TimeJunior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- 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
- Required Skills
- Data engineeringPrompt Engineering
Requirements
- Have 1–2 years of client-facing experience in a technical, consulting, implementation, or delivery role.
- Have 1–4 years of software development, data engineering, automation, or AI solution development experience.
- Bring strong prompt engineering, context engineering, and technical solution design skills for AI-enabled applications.
- Have hands-on experience with Azure AI Foundry, Azure OpenAI, Copilot Studio, Power Platform, or Microsoft Fabric.
- Have experience building GPTs, projects, skills, agents, assistants, and workflows.
- Have experience with Microsoft Fabric components such as lakehouses, warehouses, semantic models, Data Factory, OneLake, Power BI, and data security concepts.
- Be familiar with APIs, Model Context Protocol (MCP), and enterprise data integrations.
- Be familiar with enterprise data governance, identity, permissions, and secure deployment patterns across Microsoft environments.
- Snowflake, Databricks, Python, SQL, REST APIs, Graph API, or custom connector development experience is a plus.
- Experience deploying AI solutions into production with monitoring, documentation, and support handoff is a plus.
- Knowledge of security, compliance, and permission models for Microsoft 365, Azure, Fabric, and Power Platform is a plus.
Responsibilities
- Gather client requirements, validate use cases, and support technical project scoping with Microsoft Advisory and internal 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 Microsoft 365, Fabric, Dataverse, APIs, and approved enterprise systems.
- Implement solutions within defined 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.
View Full Description & ApplyYou'll be redirected to the employer's site
