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AI Cloud Engineer

  • Source: Naukri
  • Naukri Assist
  • $36,173.17 to $46,508.36 /yr
  • On-site
  • Chennai
  • Full-Time
  • Mid level

Job Description

Cloud AI Engineer — Agentic AI & Generative AI (Azure)

We are looking for a senior engineer with 15+ years of overall software/ML engineering experience, including at least 4 years building Agentic AI and Generative AI solutions on Microsoft Azure, to design, build, and deploy production-grade agentic and GenAI systems across the full AI stack.

Responsibilities

Architect and build GenAI solutions using Microsoft Foundry and Azure OpenAI, selecting models via the Foundry model catalog (OpenAI, Llama, Mistral, MAI)

Design and own Retrieval-Augmented Generation (RAG) pipelines using Azure OpenAI Embeddings, Azure AI Search, and Foundry IQ

Lead development of production AI agents using the Microsoft Agent Framework on Foundry Agent Service, with tool-calling via the Model Context Protocol (MCP) and multi-agent coordination via the Agent2Agent (A2A) protocol

Define and enforce Azure AI Content Safety guardrails and lead Foundry evaluations before production release

Own MLOps automation with Azure ML / MLflow and drive fine-tuning of models on proprietary data

Mentor engineers and guide architecture decisions for agentic AI adoption across teams

Required Skills

10-15 years overall software/ML engineering experience, including at least 3 years hands-on with Agentic AI and Generative AI specifically

Deep hands-on experience with Microsoft Foundry and/or Azure OpenAI in a production environment

Strong grasp of embeddings, vector search, and Retrieval-Augmented Generation (RAG) architecture

Practical experience with the Microsoft Agent Framework, MCP tool-calling, and A2A multi-agent patterns

Strong Python/.NET and Azure fundamentals (Blob Storage, Entra ID, Container Apps)

Interview process: AI CBIE test, L1 & L2 (final round will be face to face)

Skills

  • microsoft-azure
  • azure-arc
  • openai
  • meta-llama
  • llama
  • azure-search
  • guardrails
  • ml-flow
  • mlflow
  • Python
  • dot-net
  • azure-storage
  • microsoft-entra-id

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