Microsoft Digital Cloud & AI Solution Engineer – Innovative Applications 

Taiwan, Taoyuan City 

880059352

be at the forefront of innovation, working onprojects that

leading the way in Agentic Artificial Intelligence (AI) development where Artificial Intelligence (AI) agents streamline development and operations. As an,

, all

As a trusted technical advisor,leveraging Artificial Intelligence

Required Qualifications

• 5+ years technical pre-sales or technical consulting experienceOR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experienceOR Master's Degree in Computer Science, Information Technology, or related field AND 3+ year(s) technical pre-sales or technical consulting experience
  • OR equivalent experience
• Proficient on full stack App architecture design / modernization and cloud native dev (e.g., Application Programing Interface (APIs), containerization, microservices, event-driven, Python, Java, .NET)
• Proficient inArtificial Intelligence(AI) & Machine Learning (ML) models (e.g., Agentic AI framework, ArtificalIntelligence (AI) Foundry, Semantic Kernel, Foundry SDK, ResponsibleArtificial Intelligence(AI), fine-tuning/inferencing, etc.)
• Proven ability to lead technical engagements that drive production-scale outcomes.
• Experience in application development.

Preferred Qualifications

• 6+ years technical pre-sales, technical consulting, or technology delivery, or related experience
  • OR equivalent experience
• 4+ years experience with cloud and hybrid, or on premises infrastructure, architecture designs, migrations, industry standards, and/or technology management
• Proficient on Agentic framework,Artificial Intelligence(AI) Management & Security (e.g., GenArtificial Intelligence(AI) Ops, Sentinel, ResponsibleArtificial Intelligence(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++,Artificial Intelligence (AI) Assisted Dev Tools)

Digital Solution Engineering IC4 - The typical base pay range for this role across the U.S. is USD $51.15 - $97.88 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $66.15 - $107.02 per year.Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until August 31st, 2025.

This opportunity will allow you to:

• Accelerate your career growth by leading impactful engagements that help customers modernize their applications and adopt Artificial Intelligence (AI)-powered solutions across the development lifecycle.

• Deepen your technicalproficiencythrough hands-on architecture design, proof of concepts, and real-world development scenarios using Microsoft’s Artificial Intelligence (AI) and application platform.

• Develop strategic influence by guiding customers through secure, scalable application design and shaping key technical decisions that drive innovation.

• Strengthen your collaboration skills by working closely with engineering teams, platform specialists, and customer developers to deliver successful outcomes.

• • Build future-ready capabilities through continuous learning, certifications, and exposure to Microsoft’s evolving Artificial Intelligence (AI), cloud-native, and responsible Artificial Intelligence (AI) technologies.
• Drive technical sales with decision makers using demos and Point of contact (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 deepproficiencyin Artificial Intelligence (AI)Foundry & App architecture (Agentic AI framework, Semantic Kernel, Foundry SDK, Responsible Artificial Intelligence (AI) and App architecture/cloud native dev (APIs, containerization, microservices, event-driven, Python,Javaor .NET).

• Maintain and growproficiencyin Artificial Intelligence (AI) Management & Security (Gen AI Ops, Sentinel, orchestrator, monitoring).

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

• Other
  • Embody our and