Azure AI Engineer - Malaysia

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Azure AI Engineer - Malaysia

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Azure AI Engineer - Malaysia

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eduCLaaS We are seeking highly skilled Azure AI Engineer to join our team. The engineers 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 engineers 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)

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

Build and manage Azure Data Factory, Synapse pipelines, or Fabric pipelines for scalable data ingestion and transformation.

We are seeking highly skilled Azure AI Engineer to join our team. The engineers 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 engineers 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

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

Build and manage Azure Data Factory, Synapse pipelines, or Fabric pipelines for scalable data ingestion and transformation.

Requirements

Required Skills & Qualifications

o Azure AI Services (Language, Vision, Speech, Cognitive Search, Azure OpenAI)

o Knowledge Microsoft Copilot Studio & Power Platform

o Azure Functions, AKS (Kubernetes), App Services, Logic Apps

o Dataverse, Azure SQL, and vector DBs (Pinecone, Cosmos DB with vectors, etc.)

o Azure Fabric Pipelines

Preferred Skills

Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

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