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Azure AI Engineer - Malaysia Job Opening In Puchong – Now Hiring eduCLaaS


Job description

Overview

Join to apply for the Azure AI Engineer - Malaysia role at eduCLaaS .

This is a remote position.

The engineer will be responsible for designing, developing, and deploying AI-powered applications on Microsoft’s Azure ecosystem.

This role involves working with Azure AI Services, Azure OpenAI, Microsoft Copilot Studio, MCP (Model Context Protocol) services, and Power Platform integrations to deliver intelligent solutions, such as chatbots, knowledge agents, and adaptive multi-LLM models.

The engineer will collaborate with the team to identify the appropriate technology stack, establish best practices, and contribute to building scalable, secure, and production-ready AI solutions.

Key Responsibilities

  • Technology Stack Definition: Identify, evaluate, and recommend Microsoft and Azure-based technologies for AI/LLM development, ensuring scalability and security.

  • AI Application Development: Design and implement AI applications such as chatbots, conversational agents, and multi-LLM orchestration using Azure AI and Copilot Studio.

  • Multi-LLM Integration: Implement provider-agnostic orchestration and model routing across Azure OpenAI, OpenAI, and other providers (e.g., via Semantic Kernel hybrid model orchestration, LangChain routing, or LiteLLM).

  • MCP Integration: Develop and manage MCP (Model Context Protocol) services for orchestrating responses across OpenAI, Azure OpenAI, and other LLM providers.

  • End-to-End Deployment: Build, test, and deploy applications on Azure (VMs, AKS, Functions, App Services, etc.), ensuring reliability and high availability.

  • Power Platform Integration: Extend applications using Power Apps, Power Automate, and Power Pages to connect AI services with business processes.

  • Data & Knowledge Engineering: Integrate Azure Cognitive Services, Azure Search, Dataverse, and vector databases for knowledge ingestion, semantic search, and retrieval-augmented generation (RAG); build and manage Azure Data Factory, Synapse pipelines, or Fabric pipelines for scalable data ingestion and transformation.

  • Collaboration & Documentation: Work closely with product managers, solution architects, and business stakeholders to translate requirements into technical solutions.

    Maintain technical documentation and reusable assets.

  • Continuous Improvement: Stay updated with Microsoft’s AI advancements (Azure AI Studio, Fabric, Synapse, Cognitive Services) and incorporate them into project designs.

Requirements

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.

  • 3–6 years of experience in AI/ML application development with focus on Microsoft and Azure platforms.

  • Certifications in Microsoft Certified:
    • AI-102 – Azure AI Engineer Associate or Azure Solutions Architect
    • DP-100 – Azure Data Scientist Associate
    • AZ-204 – Azure Developer Associate
    • AZ-400 – Azure DevOps Engineer Expert
  • Hands-on experience with:
    • Azure AI Services (Language, Vision, Speech, Cognitive Search, Azure OpenAI)
    • Knowledge of Microsoft Copilot Studio & Power Platform
    • Azure Functions, AKS (Kubernetes), App Services, Logic Apps
    • Dataverse, Azure SQL, and vector DBs (Pinecone, Cosmos DB with vectors, etc.)
    • Azure Fabric Pipelines
  • Strong programming background in Python, C#, or Node.js for AI/LLM development.

  • Experience in multi-LLM orchestration (e.g., MCP services, LangChain, Semantic Kernel).

  • Knowledge of MLOps practices, CI/CD pipelines in Azure DevOps or GitHub Actions.

  • Understanding of enterprise security, compliance, and data governance in Azure.

Preferred Skills

  • Experience integrating AI into enterprise systems (e.g., CRM, ERP, LMS).

  • Familiarity with Retrieval-Augmented Generation (RAG) pipelines, prompt engineering, and fine-tuning LLMs.
  • Design and manage Azure core infrastructure (networking, IAM, storage, monitoring) to support AI workloads.

  • Implement Azure Monitor, Log Analytics, and Application Insights to track performance, reliability, and cost of AI applications.

  • Ensure enterprise-grade security with Azure Key Vault, Azure AD / Entra ID, and policy enforcement.

  • Implement infrastructure-as-code using ARM templates, Bicep, or Terraform for repeatable deployments.

  • Exposure to Agile/Scrum methodologies for project delivery.

Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Information Technology

Industries

  • E-Learning Providers

#J-18808-Ljbffr

Required Skill Profession

It & Technology


  • Job Details

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Unlock Your Azure AI Potential: Insight & Career Growth Guide


Real-time Azure AI Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Azure AI in Puchong, Malaysia, highlighting market share and opportunities for professionals in Azure AI roles.

5757 Jobs in Malaysia
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Are You Looking for Azure AI Engineer Malaysia Job?

Great news! is currently hiring and seeking a Azure AI Engineer Malaysia to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at eduCLaaS adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Malaysia laws and regulations

What Is the Average Salary Range for Azure AI Engineer Malaysia Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Puchong. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Azure AI Engineer Malaysia?

Key qualifications for Azure AI Engineer Malaysia typically include It & Technology and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

How Can I Improve My Chances of Getting Hired for Azure AI Engineer Malaysia?

To improve your chances of getting hired for Azure AI Engineer Malaysia, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Azure AI Engineer Malaysia Job Success

eduCLaaS interview tips for Azure AI Engineer   Malaysia

Here are some tips to help you prepare for and ace your Azure AI Engineer Malaysia job interview:

Before the Interview:

Research: Learn about the eduCLaaS's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Azure AI Engineer Malaysia interview at eduCLaaS, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the eduCLaaS's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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