Azure AI Engineer

We are seeking an experienced Azure AI & Microsoft Fabric Agentic Engineer to design, build, and deliver secure, production-grade AI and data solutions using Microsofts latest cloud and Fabric ecosystem. The ideal candidate must have strong handson experience with Azure AI Foundry, Fabric semantic models, security frameworks, RAG/agentic AI systems, and enterprise-grade integrations.

Location: PAN India Experience: 6-12 Years Role: Azure AI & Microsoft Fabric Engineer

Job Description:

Required Technical Skill Set

• Hands-on experience with Azure AI Foundry
• Strong expertise in Microsoft Fabric, especially:
• Semantic Models
• Power BI Security
• Row-Level Security (RLS)
• Proven experience building secure RAG (Retrieval Augmented Generation) and agentic AI systems
• Strong knowledge of Azure security architecture:
• Azure AD / Entra ID
• RBAC
• Managed Identities
• Experience integrating AI solutions with Microsoft Teams
• Ability to deliver endtoend production-grade AI applications

Must-Have Skills

• Azure AI Foundry
• Microsoft Fabric Data Agents
• RAG & Agentic AI Development
• Microsoft Teams integration
• Power BI Security + Row-Level Security (RLS)
• Strong understanding of governed AI, identity & authorization controls
• Experience in secure multi-agent orchestration

Responsibilities

1. Agentic Architecture & AI Delivery

• Design and implement master orchestrator agents using Azure AI Foundry
• Build data specialist agents using Microsoft Fabric Data Agent Framework
• Implement agent-to-agent orchestration and intelligent routing
• Generate responses grounded in Fabric semantic models used by Power BI

2. Security & Governance

• Configure and enforce RLS (Row-Level Security) at the semantic model layer
• Ensure AI agents inherit user-specific security rules
• Implement identity-aware query execution
• Apply Azure security best practicesEntra ID, RBAC, Managed Identities
• Maintain a secure RAG governance layer preventing data leakage

3. Integration & User Experience

• Integrate AI/agentic systems into Microsoft Teams
• Optional embedding into web apps or SharePoint
• Enable secure usercontext propagation from Teams to Fabric backend

4. Platform & Cross-Functional Collaboration

• Work with early-stage or near-GA Microsoft AI technologies
• Collaborate with BI, Data Engineering, and Security teams
• Align AI delivery with enterprise reporting, governance, and compliance