Microsoft Senior AI Architect 

Taiwan, Taoyuan City 

855760966

Office of the CTOtechnical role that requires deepin AI and Machine Learning, specificallyPythonfor endsolution design, development, and deployment. Experience withJavaScript and/or .NETand Agent developmentframeworkslike Semantic Kernel,LangChain, LangGraphis strongly preferred.AI capabilities,design and build AI solutions, implement robust data pipelines including Azure OpenAI, Azure ML, and other Large/Small Language Model (LLM/SLM) platforms.

Basic Qualifications:

• ’s degree (or higher),preferably with a specialization in Machine Learning, Data Science, or AI.

• 5+ years as a technical solution architect or consultant with provenexpertisein AI/ML development.

• Mandatory hands-on experienceinPythondevelopment, with extensive practical experience building and deploying production-grade AI solutions.

• track recordof successful delivery of cloud-native AI projects, ideally on the Azure platform.

• expertisein deep-learningandAgentic AIframeworks(Semantic Kernel,LangChain, LangGraphetc.) and model optimization.
• Fluency in Japanese and English.

Preferred Qualifications:

• , hands-on software development experience inJavaScriptand/or.NET,providingfull-stack solution design capability.

• Deep understanding and practical experience with Azure OpenAI (e.g., ChatGPT, DALL·E 2), Azure ML, andAI Agent development frameworks

• in implementing automated deployments using Azure DevOps, GitHub(CI/CD pipelines)and comprehensive understanding ofMLOpspractices.

• Excellent communication skills (written and verbal) with the ability to articulate complex technical solutions clearly to diverse audiences, including senior executives.

• Strong analytical and problem-solving skills, with a passion for customer empathy and user-centric solution design.

• hands-ondesign anddevelopment efforts

• Engage directlywith key enterprise customers to strategize,architectand implement AIdriven,Agentic AIsolutionsleveragingAzure AI servicesincluding Azure OpenAI, Azure ML

• ranslate complex requirements into practical, well-architected technical solutions.

• Develop end-to-end,rapid prototypes,involving data ingestion, validation, processing, and model deployment using Azure platform components.

• Build, customize, andoptimizeAI models and related components for customer-specific use cases

• Integrate AI solutions with full-stack architectures, preferablyleveragingexperience withJavaScript frameworks (e.g., Node.js, React)and/or.NET ecosystems

• Establish andmaintainrobust CI/CD and MLOps pipelines,leveragingAzure DevOps,Githubfor automated deployments.

• Proactively explore diverse datasets to engineer novel features and signals that significantly enhance ML performance.

• Participate actively in every phase of themodel lifecyclefrom conceptualization, training,finetuning, validation, and deployment, to continuous monitoringandimprovement