Microsoft Cloud & AI Solution Engineer – Applications 

Taiwan, Taoyuan City 

587091546

Required Qualifications (RQs)

• A couple years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND A few years technical pre-sales or technical consulting experience  OR Master's Degree in Computer Science, Information Technology, or related field AND A couple year(s) technical pre-sales or technical consulting experience  OR equivalent experience

• Experience on 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.)

• Experience supporting technical activities like hackathons, proof of concepts, or MVPs that contribute to real-world outcomes

Preferred Qualifications (PQs)

• Proven years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience
• Proven years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management

• 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)

• Proficiency in Norwegian is preferred.

• Drive technical sales with decision makers using demos and PoCs to influence solution design and enable production deployments.

• Lead hands-on engagements—hackathons, code-with sessions, and architecture workshops—to accelerate adoption of Microsoft’s developer tools and cloud platforms.

• Build trusted relationships with developers and platform leads, co-designing secure, scalable architectures and solutions

• Resolve technical blockers and objections, collaborating with engineering to share insights and improve products.

• Maintain deep expertise in AI Foundry & App architecture (Agentic AI framework, Semantic Kernel, Foundry SDK, Responsible AI) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven, Python, Java or .NET).

• Maintain and grow expertise in AI Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring).

• Represent Microsoft through thought leadership in developer communities and customer forums