We are seeking a hands-on Azure AI Foundry Developer to build, deploy, secure and troubleshoot AI/GenAI applications on Microsoft Azure. The role centers on Python development,

Foundry model endpoints, REST/SDK integration, identity-based authentication and production operations. Working knowledge of Microsoft Fabric and Power BI is needed to integrate enterprise data securely.

Key Responsibilities

Azure AI Foundry Development

 Develop Python applications that invoke Azure AI Foundry model deployments through SDKs and REST APIs.

 Configure projects, model deployments and endpoints; understand their distinct responsibilities.

 Build reusable inference components, prompt workflows and application integrations.

Identity, Authentication & Security

 Implement API key and Microsoft Entra ID authentication, including service principals and system-/user-assigned managed identities.

 Configure RBAC, token acquisition, secure credential handling and Azure Key Vault integration.

 Diagnose authentication and authorization issues and apply least-privilege access.

API Troubleshooting & Reliability

 Investigate HTTP 400, 401, 403, 404, 429 and 5xx responses, including endpoint, credential,

RBAC, quota and networking causes.

 Implement structured logging, retries with backoff, monitoring and robust exception handling.

 Test connectivity and model invocation across development and production environments.

Microsoft Fabric & Power BI Integration

 Integrate AI applications with Fabric Lakehouse, Warehouse, SQL analytics endpoints and

OneLake data sources.

 Understand Import, DirectQuery and Direct Lake modes and how semantic models connect to Fabric.





 Support row-level security (RLS), workspace roles and semantic model permissions (Read,

Build, Reshare, Write).

Development & Delivery

 Write modular, tested Python code and REST services; maintain source control and CI/CD workflows.

 Work with platform, data engineering and security teams to release production-ready solutions.

Required Skills

 Solid hands-on Python, REST APIs and Azure AI Foundry model integration.

 Experience deploying/invoking Azure AI models and troubleshooting endpoint failures.

 Microsoft Entra ID, service principals, managed identities, RBAC and Key Vault.

 Working knowledge of Fabric Lakehouse, Warehouse, SQL, Power BI semantic models and

RLS.

 Git, automated testing, CI/CD and production monitoring.

Required Qualifications

 5–9 years of overall software development or cloud engineering experience.

 Minimum 2 years of hands-on experience building Azure AI/GenAI applications.

 Strong Python development and REST API integration experience.

 Practical experience deploying and invoking AI models through Azure AI Foundry or its associated Azure AI services.

 Experience implementing Microsoft Entra ID authentication using service principals or managed identities.

 Demonstrated ability to troubleshoot API authentication, authorization, and endpoint connectivity issues.

 Understanding of Azure RBAC, credential management, and enterprise security principles.

 Working knowledge of Microsoft Fabric and Power BI integration.

Preferred Skills

RAG, Azure AI Search, embeddings, Azure Functions/App Service/Container Apps, Fabric pipelines and notebooks, Azure DevOps or GitHub Actions.

📌 Artificial Intelligence Engineer (India)
🏢 Dimensionless Technologies
📍 India