Azure AI Engineer

eduCLaaS; Kuala Lumpur; On-site; MYR 80,000 - 120,000; Full time

Job summary

A leading education technology provider is seeking an Azure AI Engineer in Kuala Lumpur. The ideal candidate will design, build, and deploy AI-powered applications using Azure AI Services and Power Platform. They will collaborate with teams to implement scalable AI solutions and utilize best practices in AI application development and MLOps. Candidates should have 3–6 years of relevant experience and relevant Microsoft certifications. Join us to make impactful changes through AI technology.

Qualifications

• 3–6 years of experience in AI, software development, or Azure applications.
• Microsoft certifications: AI-102, AZ-204, DP-100, AZ-400.
• Hands-on experience with RAG pipelines, vector search, or knowledge integration.

Responsibilities

• Design, build, and deploy AI-powered applications on Azure.
• Collaborate with data engineers and business teams to create scalable AI solutions.
• Implement multi-LLM orchestration and integrate AI solutions into business processes.

Skills

Azure AI Services

Python

C#

Power Platform

MLOps

CI/CD

Education

Bachelor's or Master's in Computer Science, AI/ML

Tools

Azure DevOps

GitHub Actions

Azure Monitor

Application Insights

Job description

Experience: 3–6 years

About the Role

We are looking for an Azure AI Engineer to design, build, and deploy AI-powered applications on Azure. You will work with Azure AI Services, Azure OpenAI, Copilot Studio, Power Platform, and multi-LLM orchestration to deliver chatbots, knowledge assistants, and enterprise copilots.

You’ll collaborate with data engineers and business teams to create production-ready AI solutions that are scalable, secure, and impactful.

What You’ll Do

• Build AI applications: chatbots, knowledge assistants, and copilots
• Implement multi-LLM orchestration across Azure OpenAI, OpenAI, and other providers
• Work with data engineers to leverage datasets for RAG workflows
• Integrate AI solutions into business processes using Power Platform
• Deploy AI apps on Azure (Functions, App Services, AKS, VMs)
• Implement CI/CD and MLOps pipelines using Azure DevOps or GitHub Actions
• Monitor performance, reliability, and cost using Azure Monitor and Application Insights
• Maintain technical documentation and reusable assets
• Stay current with Azure AI, Copilot, and related technologies

Requirements

What You Need

• Bachelor’s or Master’s in Computer Science, AI/ML, or related field
• 3–6 years of experience in AI, software development, or Azure applications
• Microsoft certifications: AI-102, AZ-204, DP-100, AZ-400

Hands-on experience with:

• Azure AI Services and Azure OpenAI
• Copilot Studio and Power Platform
• Python or C# for AI/LLM development
• Deploying applications on Azure
• Experience with RAG pipelines, vector search, or knowledge integration
• Understanding of security, governance, and compliance in Azure
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Nice to Have

• Experience integrating AI into enterprise systems (CRM, ERP, LMS)
• Prompt engineering, fine-tuning, and evaluation of LLMs
• Infrastructure-as-code: ARM, Bicep, or Terraform