Azure AI / GenAI Engineer
Experience: 4+ Years
Primary Skills – Azure AI / GenAI (75–80%)
Azure AI Foundry
Azure OpenAI / LLM Integration
AI Agents & Agentic AI Development
RAG (Retrieval-Augmented Generation) Architectures
Azure AI Search
Embeddings & Vector Search
Prompt Engineering
Function / Tool Calling
Python & REST APIs
Responsible AI, Security & Guardrails
LLM Evaluation, Monitoring & Observability

Secondary Skills – Azure Data Engineering (20–25%)
Azure Databricks & PySpark
Azure Data Factory (ADF)
Microsoft Fabric / Synapse Analytics
ADLS Gen2
Delta Lake / Lakehouse
SQL & Data Modelling
Microsoft Purview
ETL/ELT
IAM & CI/CD

Primary Requirement
Candidate must be a hands-on Azure AI/GenAI Engineer capable of developing production-grade Generative AI and Agentic AI solutions.
Azure AI/GenAI should be the candidate's core expertise.
Data Engineering should be a secondary capability.




Pure Data Engineers with only basic GenAI exposure should not be considered.

Vendor Screening Priority
The following skills should form the core skill set:
Azure AI Foundry
Azure OpenAI
Python
RAG
Azure AI Search
Agentic AI

Positive to Have
Multi-Agent Architectures
MCP (Model Context Protocol)
Semantic Kernel
Azure Functions
Azure Container Apps / AKS
Microsoft Fabric
Relevant Azure AI Certifications

Candidate Evaluation Priority
Must-have/core:
Azure AI Foundry + Azure OpenAI + Python + RAG + Azure AI Search + Agentic AI
Added advantage:
Databricks + ADF + Fabric + Azure Data Engineering
Key screening point: The candidate should primarily be an Azure AI/GenAI Engineer, not a Data Engineer who has limited exposure to GenAI.

📌 Azure Ai Hyderabad
🏢 HCL INDIA
📍 Hyderabad