Verified Job
Engineering - Architecture
Azure AI Engineer - India
Engineering - Architecture
#733170
Remote / WFH
CLaaS2SaaS
Job Description
Azure AI Engineer (LLM & Copilot)
Experience: 5–6 years
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
Experience: 5–6 years
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
