Requirements

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

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

Azure AI & Cloud Engineering

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

Copilot & Power Platform

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

DevOps & Operations

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

Continuous Improvement

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

Benefits

Required Qualifications

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

Preferred Qualifications

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