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Urgent! Azure AI Engineer - Malaysia Job Opening In Singapore, Singapore – Now Hiring eduCLaaS
Position Overview
We are seeking a highly skilled Azure AI Engineer to join our team.
The engineer will be responsible for designing, developing, and deploying AI‐powered applications on Microsoft’s Azure ecosystem.
This role will involve 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 also 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).
Data Pipelines – 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, and 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
Education
– Bachelor’s or Master’s degree in Computer Science, AI/ML, or a related field.
Experience
– 3–6 years of experience in AI/ML application development with focus on Microsoft and Azure platforms.
Certifications
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 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
Programming background
– Strong programming background in Python, C#, or Node.js for AI/LLM development.
Multi‐LLM orchestration
– Experience in multi‐LLM orchestration (e.g., MCP services, LangChain, Semantic Kernel).
MLOps practices
– Knowledge of MLOps practices, CI/CD pipelines in Azure DevOps or GitHub Actions.
Enterprise security
– Understanding of enterprise security, compliance, and data governance in Azure.
Preferred Skills
• Certifications in Microsoft Certified: Azure AI Engineer Associate or Azure Solutions Architect.
• Experience integrating AI into enterprise systems (e.g., CRM, ERP, LMS).
• Familiarity with 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 role‐based access, and policy enforcement.
• Implement infrastructure‐as‐code using ARM templates, Bicep, or Terraform for repeatable deployments.
• Exposure to Agile/Scrum methodologies for project delivery.
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Unlock Your Azure AI Potential: Insight & Career Growth Guide
Real-time Azure AI Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Azure AI in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 2321 jobs in Singapore and 2156 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Azure AI roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! eduCLaaS 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: Azure AI Engineer Malaysia Jobs Singapore.
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:The average salary range for a Azure AI Engineer Malaysia Jobs Singapore varies, but the pay scale is rated "Standard" in Singapore. 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.
Key qualifications for Azure AI Engineer Malaysia typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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