Microsoft Cloud Solution Architect CSA – & AI Infrastructure 

Taiwan, Taoyuan City 

466429149

We’re looking for a Cloud Solution Architect (CSA) to help customers migrate, modernize and secure their infrastructure, applications, and data on Microsoft Azure, laying the foundation for scalable, production-ready AI solutions. As part of the Cloud + AI Infrastructure team, you’ll deliver engagements focused on migration, modernization, operational excellence and resilient architecture using frameworks like Cloud Adoption Framework (CAF) and Well-Architected Framework (WAF). You’ll leverage existing Repeatable IP and execution engines for critical milestones, ensure infrastructure, application, and database readiness for AI workloads, and ensure successful deployment that accelerates adoption. You’ll work closely with customer IT leaders to design and implement scalable solutions, resolve blockers, and accelerate adoption of Azure services through repeatable IP and delivery excellence. With deep expertise across Azure infrastructure, applications, databases, and hybrid environments, you’ll play a key role in helping customers unlock the full value of their Microsoft Azure investments.

Required Qualifications (RQs)

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND solid experience in Data & Analytics & AI cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
  • OR equivalent experience

Preferred Qualifications (PQs)

• Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND extensive experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting
• Solid experience working in a customer-facing role (e.g., internal and/or external) and working on technical projects
• Business Value: The ability to convey the business needs and value of proposed solutions, plans, and risks to stakeholders and decision makers. This includes the ability to persuade and inform based on facts and alignment with goals and strategy.
• Trusted Advisership: The ability to build trusted advisor status and deep relationships across stakeholders (e.g., technical decision makers, business decision makers) through an understanding of customer needs and technologies.

A Strong Focus On Below Is Required:

• Infrastructure & Platform Expertise
  • Virtual Machines (VMs) – Windows and Linux
  • Containers & Infra as Code – AKS, Terraform, Bicep, ARM templates
  • Networking – VNETs, VPNs, ExpressRoute, Load Balancers, Network Security Groups
  • Storage – Blob, Disk, File, Backup, Recovery Services Vault
  • Identity & Access Management – Azure Active Directory, RBAC, Conditional Access
  • Security – Defender for Cloud, Key Vault, Azure Policy, Sentinel
  • Hybrid Cloud – Azure Arc, on-premises integration, VMware, and Hyper-V
  • Monitoring & Management – Azure Monitor, Log Analytics, Application Insights
• Architecture & Design
  • Cloud-based solution architecture (IaaS and PaaS)
  • Azure Well-Architected Framework
  • Cloud Adoption Framework
  • Governance, Risk, and Compliance (GRC)
• DevOps & Automation
  • Azure DevOps, GitHub Actions
  • PowerShell, CLI, Ansible
  • CI/CD pipelines and automation scripting
• Certifications
  • Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, Terraform,... )

• Build trusted relationships with key customer IT decision makers to drive long-term cloud adoption and serve as the Voice of the Customer—sharing insights and removing blockers through collaboration with Microsoft engineering teams.
• Lead architectural design sessions and deliver secure, scalable, and resilient infrastructure solutions aligned to customer business goals using frameworks like CAF and WAF.
• Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM.
• Drive migration and modernization initiatives, including committed proof of concept and production milestones, across infrastructure, data, and AI workloads.
• Ensure customer environments are optimized for health, resiliency, security, and performance—enabling production-scale AI use cases.
• Deliver repeatable IP and contribute to centralized IP development to accelerate deployment and achieve targeted outcomes.
• Identify and resolve technical blockers to accelerate go-live and ensure delivery excellence across key Factory engagements.
• Generate incremental pipeline from each engagement by driving next best actions and aligning with Unified Enterprise Support (ES) priorities.
• Maintain technical intensity through continuous skilling and certifications in priority workloads such as AKS, App Service, AVS, Windows, Linux, Defender for Cloud, Azure SQL and PostgreSQL.
• Engage in technical communities, share best practices, and contribute to knowledge reuse to accelerate customer transformation and success.