Senior Azure AI Engineer: Build Enterprise AI Solutions

CLaaS2SaaS

Jakarta Utara

On-site

IDR 350,000,000 - 650,000,000

Full time

14 days+

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Job summary

CLaaS2SaaS is seeking 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, and Azure AI Search to develop enterprise-grade chatbots and knowledge assistants.

You will collaborate with data engineers, software developers, and business stakeholders to deliver scalable, secure, and production-ready AI solutions that drive business impact across complex environments.

Qualifications

Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, or related field.
5+ years of software development, cloud engineering, AI solutions, or related roles.
Hands-on experience with Azure AI Services and Azure OpenAI.
Experience deploying AI/LLM applications in production.
Strong experience with Retrieval-Augmented Generation (RAG), vector search, embeddings, and knowledge retrieval solutions.
Experience with Azure AI Search or equivalent vector search technologies.
Experience developing solutions using Python and/or C#.
Experience deploying applications and services on Microsoft Azure.
Familiarity with CI/CD practices using Azure DevOps or GitHub Actions.
Understanding of Azure security, governance, and compliance best practices.

Responsibilities

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#.
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.
Design and build copilots using Microsoft Copilot Studio and Power Platform.
Implement CI/CD pipelines using Azure DevOps and/or GitHub Actions.
Monitor performance, usage, and costs using Azure Monitor and Application Insights.
Maintain technical documentation and reusable assets.