Azure AI Engineer - India

About the Role

We are looking for an experienced Azure AI Engineer to design, build, and deploy AI-powered applications on Microsoft Azure. You will work with Azure AI Services, Azure OpenAI, Azure AI Search, Copilot Studio, and Power Platform to develop enterprise-grade chatbots, knowledge assistants, and AI copilots.

You will collaborate closely with data engineers, software developers, and business stakeholders to deliver scalable, secure, and production-ready AI solutions that drive business impact.

Key Responsibilities

AI Solution Development

• Design, develop, and deploy AI-powered applications, including chatbots, knowledge assistants, and enterprise copilots
  
• Build and optimize Retrieval-Augmented Generation (RAG) solutions using Azure AI Search, vector search, and enterprise knowledge sources
  
• Integrate Azure OpenAI and other LLM providers into business applications and workflows
  
• Develop AI solutions using Python and/or C#
  

Azure AI & Cloud Engineering

• Deploy and manage AI applications on Azure using services such as Azure Functions, App Services, AKS, and Virtual Machines
  
• Configure and manage Azure AI Services, Azure OpenAI, Azure AI Search, and related Azure resources
  
• Ensure solutions meet enterprise standards for security, governance, compliance, and scalability
  

Copilot & Power Platform

• Design and build custom copilots using Microsoft Copilot Studio
  
• Integrate AI capabilities into business processes using Power Platform
  
• Develop conversational experiences and knowledge assistants for internal and external users
  

DevOps & Operations

• Implement CI/CD pipelines using Azure DevOps and/or GitHub Actions
  
• Support MLOps and AI application lifecycle management
  
• Monitor application performance, reliability, usage, and costs using Azure Monitor and Application Insights
  
• Maintain technical documentation and reusable solution assets
  

Continuous Improvement

• Stay up to date with Azure AI, Azure OpenAI, Copilot, and emerging LLM technologies
  
• Recommend improvements and best practices for AI solution architecture and delivery
  

Requirements

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or a related field
  
• 5+ years of experience in software development, cloud engineering, AI solutions, or related technical roles
  
• Hands-on experience with Azure AI Services and Azure OpenAI
  
• Experience building and deploying AI/LLM applications in production environments
  
• Strong experience with Retrieval-Augmented Generation (RAG), vector search, embeddings, and knowledge retrieval solutions
  
• Experience with Azure AI Search or equivalent vector search technologies
  
• Experience developing solutions using Python and/or C#
  
• Experience deploying applications and services on Microsoft Azure
  
• Familiarity with CI/CD practices using Azure DevOps or GitHub Actions
  
• Understanding of Azure security, governance, and compliance best practices
  
• Experience working with REST APIs, integrations, and enterprise systems
  

Preferred Qualifications

• Experience with Microsoft Copilot Studio and Power Platform
  
• Experience integrating AI solutions with enterprise platforms such as CRM, ERP, LMS, or HR systems
  
• Experience with prompt engineering, LLM evaluation, model optimization, and fine-tuning
  
• Experience with multi-LLM architectures and orchestration
  
• Experience with Infrastructure as Code (Terraform, Bicep, or ARM templates)
  
• Microsoft certifications such as AI-102, AZ-204, DP-100, or AZ-400
  
• Experience working in Agile/Scrum environments