Design, build, and deploy AI applications on Azure using Azure AI Services and OpenAI. Collaborate with teams for scalable solutions and implement CI/CD pipelines.
This is a remote position.
Azure AI Engineer (LLM & Copilot)Experience: 5–6 years
We are looking for 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, Azure AI Search, Copilot Studio, and Power Platform to develop enterprise-grade chatbots, knowledge assistants, and AI copilots.
You will collaborate closely with data engineers, software developers, and business stakeholders to deliver scalable, secure, and production-ready AI solutions that drive business impact.
Key ResponsibilitiesAI Solution Development
- 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 custom copilots using Microsoft Copilot Studio
- Integrate AI capabilities into business processes using Power Platform
- Develop conversational experiences and knowledge assistants for internal and external users
- Implement CI/CD pipelines using Azure DevOps and/or GitHub Actions
- Support MLOps and AI application lifecycle management
- Monitor application performance, reliability, usage, and costs using Azure Monitor and Application Insights
- Maintain technical documentation and reusable solution assets
- Stay up to date with Azure AI, Azure OpenAI, Copilot, and emerging LLM technologies
- Recommend improvements and best practices for AI solution architecture and delivery
Requirements
Required Qualifications
- Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, or a related field
- 5+ years of experience in software development, cloud engineering, AI solutions, or related technical roles
- Hands-on experience with Azure AI Services and Azure OpenAI
- Experience building and deploying AI/LLM applications in production environments
- 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
- Experience working with REST APIs, integrations, and enterprise systems
- Experience with Microsoft Copilot Studio and Power Platform
- Experience integrating AI solutions with enterprise platforms such as CRM, ERP, LMS, or HR systems
- Experience with prompt engineering, LLM evaluation, model optimization, and fine-tuning
- Experience with multi-LLM architectures and orchestration
- Experience with Infrastructure as Code (Terraform, Bicep, or ARM templates)
- Microsoft certifications such as AI-102, AZ-204, DP-100, or AZ-400
- Experience working in Agile/Scrum environments
Lithan Pte Ltd Singapore Office
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead pre-sales solution consulting for Singapore government agencies: drive discovery, design PoCs/demos, architect ServiceNow-based solutions (ITSM, HRSD, App Engine, AI workflows), manage stakeholder engagement at executive levels, navigate public sector procurement/compliance, and contribute to team capability and GTM strategy.
Top Skills:
Ai-Powered Workflow PlatformsAi/Now AssistApp EngineHrsdItsmPoc/PovServicenowServicenow CisServicenow CsaWorkflow Automation
Cloud • Information Technology • Security • Software • Cybersecurity
Own and administer the Atlassian Data Center Jira environment: lead patching and upgrades, govern configurations, build Groovy/ScriptRunner automations, monitor performance and JVM tuning, troubleshoot logs and thread dumps, and provide Tier 3 support and change-controlled operations to maximize uptime and scalability.
Top Skills:
Atlassian-Jira.LogAzure AdBitbucketConfluenceGroovyJira ApiJira CloudJira Data CenterJira ServerJira Service ManagementJvmJvm TuningLinuxOktaPostgresSAMLScriptrunnerSQL ServerSsl/Certificate ManagementSsoThread DumpsWindows Server
Artificial Intelligence • Big Data • Cloud • Information Technology • Software • Big Data Analytics • Automation
Recruit, develop and manage channel partners to generate software license and services revenue. Build joint go-to-market strategies, drive partner-sourced pipeline, run business reviews, track forecasts and KPIs, and collaborate with regional sales teams. Travel 25-50% to onboard partners and ensure successful execution of partner initiatives.
Top Skills:
Cloud (AwsDevOpsDynatraceDynatrace IntelligenceGoogle Cloud)AzureObservabilitySaaS
What you need to know about the Singapore Tech Scene
The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
