Microsoft Cloud & AI Solution Architect - Applications 

Taiwan, Taoyuan City 

595090904

Why Join Us?

• Accelerate your career growth and develop deep business and technical acumen.
• Hone your skills in solution design, deployment, and cloud architecture.
• Enjoy flexible work opportunities and a culture that values respect, integrity, and accountability.
• Be part of Microsoft’s mission to empower every person and every organization on the planet to achieve more.

Required/minimum qualifications

Required Qualifications (RQs)

• Proven technical pre-sales or technical consulting experience
  • OR Bachelor's Degree in Computer Science, Information Technology, or related field AND few years of technical pre-sales or technical consulting experience
  • OR Master's Degree in Computer Science, Information Technology, or related field AND a couple years of technical pre-sales or technical consulting experience  OR equivalent experience

Preferred Qualifications (PQs)

• Experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
• Exposure to full stack App architecture design / modernization and cloud native dev (e.g., APIs, containerization, microservices, event-driven, Python, Java, .NET)
• Experience in AI & ML models (e.g., Agentic AI framework, AI Foundry, Semantic Kernel, Foundry SDK, Responsible AI, fine-tuning/inferencing, etc.)
• Proven ability to lead technical engagements (e.g., hackathons, PoCs, MVPs) that drive production-scale outcomes.
• Experience on Agentic framework, AI Management & Security (e.g., Gen AI Ops, Sentinel, Responsible AI, orchestrator, monitoring)
• Skilled with 1 or more frameworks, tools, languages (e.g., GitHub, Copilot Studio, VS Code, Jupyter, PyCharm, Node.js, Python, Java, C#, C++, AI Assisted Dev Tools)

What You’ll Do

• Serve as a trusted technical advisor, guiding enterprise customers through secure, scalable solution architecture and design.
• Collaborate closely with engineering leaders, platform teams, and business stakeholders to accelerate adoption of Azure, AI, and Responsible AI.
• Lead hands-on engagements such as architecture design sessions, proof of concepts, and technical workshops.
• Influence technical decisions, drive best practices, and help customers realize the full value of Microsoft’s cloud and AI platforms.