Azure AI Engineer - Vietnam

Azure AI Engineer (LLM & Copilot)Experience: 5–6 yearsAbout the RoleWe 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 ResponsibilitiesAI Solution DevelopmentDesign, develop, and deploy AI-powered applications, including chatbots, knowledge assistants, and enterprise copilotsBuild and optimize Retrieval-Augmented Generation (RAG) solutions using Azure AI Search, vector search, and enterprise knowledge sourcesIntegrate Azure OpenAI and other LLM providers into business applications and workflowsDevelop AI solutions using Python and/or C#Azure AI & Cloud EngineeringDeploy and manage AI applications on Azure using services such as Azure Functions, App Services, AKS, and Virtual MachinesConfigure and manage Azure AI Services, Azure OpenAI, Azure AI Search, and related Azure resourcesEnsure solutions meet enterprise standards for security, governance, compliance, and scalabilityCopilot & Power PlatformDesign and build custom copilots using Microsoft Copilot StudioIntegrate AI capabilities into business processes using Power PlatformDevelop conversational experiences and knowledge assistants for internal and external usersDevOps & OperationsImplement CI/CD pipelines using Azure DevOps and/or GitHub ActionsSupport MLOps and AI application lifecycle managementMonitor application performance, reliability, usage, and costs using Azure Monitor and Application InsightsMaintain technical documentation and reusable solution assetsContinuous ImprovementStay up to date with Azure AI, Azure OpenAI, Copilot, and emerging LLM technologiesRecommend improvements and best practices for AI solution architecture and deliveryRequirementsRequired QualificationsBachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or a related field5+ years of experience in software development, cloud engineering, AI solutions, or related technical rolesHands-on experience with Azure AI Services and Azure OpenAIExperience building and deploying AI/LLM applications in production environmentsStrong experience with Retrieval-Augmented Generation (RAG), vector search, embeddings, and knowledge retrieval solutionsExperience with Azure AI Search or equivalent vector search technologiesExperience developing solutions using Python and/or C#Experience deploying applications and services on Microsoft AzureFamiliarity with CI/CD practices using Azure DevOps or GitHub ActionsUnderstanding of Azure security, governance, and compliance best practicesExperience working with REST APIs, integrations, and enterprise systemsPreferred QualificationsExperience with Microsoft Copilot Studio and Power PlatformExperience integrating AI solutions with enterprise platforms such as CRM, ERP, LMS, or HR systemsExperience with prompt engineering, LLM evaluation, model optimization, and fine-tuningExperience with multi-LLM architectures and orchestrationExperience with Infrastructure as Code (Terraform, Bicep, or ARM templates)Microsoft certifications such as AI-102, AZ-204, DP-100, or AZ-400Experience working in Agile/Scrum environmentsAzure AI Engineer (LLM & Copilot)Experience: 5–6 yearsAbout the RoleWe 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 ResponsibilitiesAI Solution DevelopmentDesign, develop, and deploy AI-powered applications, including chatbots, knowledge assistants, and enterprise copilotsBuild and optimize Retrieval-Augmented Generation (RAG) solutions using Azure AI Search, vector search, and enterprise knowledge sourcesIntegrate Azure OpenAI and other LLM providers into business applications and workflowsDevelop AI solutions using Python and/or C#Azure AI & Cloud EngineeringDeploy and manage AI applications on Azure using services such as Azure Functions, App Services, AKS, and Virtual MachinesConfigure and manage Azure AI Services, Azure OpenAI, Azure AI Search, and related Azure resourcesEnsure solutions meet enterprise standards for security, governance, compliance, and scalabilityCopilot & Power PlatformDesign and build custom copilots using Microsoft Copilot StudioIntegrate AI capabilities into business processes using Power PlatformDevelop conversational experiences and knowledge assistants for internal and external usersDevOps & OperationsImplement CI/CD pipelines using Azure DevOps and/or GitHub ActionsSupport MLOps and AI application lifecycle managementMonitor application performance, reliability, usage, and costs using Azure Monitor and Application InsightsMaintain technical documentation and reusable solution assetsContinuous ImprovementStay up to date with Azure AI, Azure OpenAI, Copilot, and emerging LLM technologiesRecommend improvements and best practices for AI solution architecture and delivery

Azure AI Engineer (LLM & Copilot)

Experience: 5–6 years

Experience:

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