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Microsoft Cloud & AI Platform - Solution Architecture Apps Taiwan, Taoyuan City 958244592
02.09.2025
AI-powered applicationsto production scale on Azurerole, owning overall technical relationshippivotal in drivingacross Unified and Factory engagements
You will own thezure based alatform and AI technical support post sales including architectural designsessions, specific implementation projects,build MVPs and trouble solving and prevent the issues and supportAI-powered applicationsPlatform to productions.
Required/Minimum Qualifications:
- Bachelor’s degreein computer science, Information Technology, Engineering, or a related fieldAND5+ yearsof experience incloud/infrastructure technologies,software development/support, analytics/BI system development, or artificial intelligence (AI).
- Deep understanding of Cloud Infrastructure, Cloud Native solutions,containerization,andDevsec ops
- Familiarity withat least one development language(e.g., Python, Java, Go, C#, JavaScript, Scala).
- Problem Solving.Ability to solve customer problems through cloud technologies
- 3+ years of experience incustomer-facing IT project delivery
Additional or Preferred Qualifications:
- Master’s degreein computer science, Information Technology, Engineering, or a related field AND6+ years of experiencein cloud/infrastructure technologies, software development/support, analytics/BI system development, or artificial intelligence (AI).
- Proficiency inmultiple development languages(e.g., Python, Java, Go, C#, JavaScript, Scala).
- 6+ years of experience in
- 6+ years of experienceleading technical projects.
- Technical Certification in Cloud(e.g., Azure, Amazon Web Services, Google Cloud, Alibaba Cloud, Tencent Cloud, security certifications).
Essential Skills:
- , Llama,Deepseek,Copilot includingGithubCopilot and Studio,and Cognitive services
- Microservices and containerization with Azure Kubernetes Services
- Advanced Analytics (Azure Synapse, Databricks, visualization tools such asPowerBI, Tableau,QuickBI)
- NoSQL Databases including OSS (Cassandra, Mongo, HBase, etc.), Cosmos DB
Responsibilities
- dataestate, IT and business priorities and success measures to design implementationAI basedarchitectures and solutions.
- Consumption (Cloud & Support) growth - Develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments.
- be advisor for customer’sAzure AIPlatformstrategy,applicationsmodernization throughmicroserviceson Azure Kubernetes services, AA/AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and AI technologies where appropriate (e.g. Azure ML,Azure AI Services including AI Search, Azure OpenAI,Copilot includingGithubCopilot and Studio,Cognitive Services, Spark, Data Lake, Azure Synapse, etc.)
- Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability and reliability upon deployment.
- Deliver according to MS best practices & using repeatableIntellectual Property (IP)and Value Based Delivery (VBD).
- Assess the Customers' knowledge of Azure platform and overall cloud readiness to support customers through a structured learning plan and ensure its delivery through partners.
- Solution Engineers and otherCloud Solution Architects in developing complex end-to-end Enterprise solutions on Microsoft Azure platform.
- Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the technical community while educate customers on Azure platform.
- Be an Azure Platform evangelist with customers, partners and external communities.
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