Microsoft Cloud & AI Solution Engineer - Applications Taiwan, Taoyuan City 512430669
AI Applications. Here,be at the forefront of innovation, working onprojects that
As aSolution Engineer – Cloud & AI Applicationsguide them in understanding the art of the possible,helping themscalable AI solutions, and adoptingtools to build the next generation of intelligent applications. By combining technicalempower organizations to boost productivity, drive transformation, and become truly AI-native.
, all
Required/minimum qualifications
- Master's Degree in Computer Science, Information Technology, or related field AND 1+ year(s) technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 2+ years technical pre-sales or technical consulting experience
- OR 3+ years technical pre-sales or technical consulting experience
- OR equivalent experience.
- Extensive experience insoftware development architecture and development techniques for cloud native environments.
- Ability to communicate technical concepts to business and technical audiences.
- Proven ability to lead technical engagements (e.g., hackathons,PoCs, MVPs) that drive production-scale outcomes.
Additional or 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 infrastructures, architecture designs, migrations, industry standards, and/or technology management.
- Experience modernizing legacy applications to cloud native architectures.
- Experience developing generative AI or Agentic AI solutions(LangChain,AutoGen, Semantic Kernel).
Solution Engineering IC3 - The typical base pay range for this role across Canada is CAD $69,600 - CAD $130,900 per year.
Solution Engineering IC4 - The typical base pay range for this role across Canada is CAD $96,000 - CAD $177,600 per year.
Find additional pay information here:
- Drive technical sales with decision makers using demos andPoCsto influence solution design and enable production deployments.
- Lead hands-on engagements—hackathonsand architecture workshops—to accelerate adoption of Microsoft’s cloud platforms.
- Build trusted relationships with platform leads, co-designing secure, scalable architecturesand solutions
- Resolve technical blockers and objections, collaborating withengineeringto share insights and improve products.
- Maintain deepexpertiseinour Intelligent Application Development portfolio:AI Foundry, Azure Kubernetes Service, App Service Environment, Azure Container Apps, API Management,Azure Managed Redis.
- Maintain and growexpertiseinAzure database platforms: Cosmos DB,PostgreSQLand SQL DB.
- Represent Microsoft through thought leadership inApplication Development
- Embody our
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