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Microsoft Principal Enterprise Architect CTO Office US Commercial Industries 
Taiwan, Taoyuan City 
51992593

Today

based solutions by embedding co-engineering and co-innovation practices and AI transformation capabilities acrossengagement and innovationacross industry operating units.

Required Qualifications:

  • Bachelor's Degree in Computer Science, Engineering, Data Science, Math, Business, or related field AND 6+ years experience in technical program/product management, coding, software development/delivery work
    • OR equivalent experience.
  • 5+ years of enterprise customer-facing experience.
  • Hands-on experience with complex production applications that use Azure, AWS, GCP, and large-scale, on-premise deployments with a focus on one or more of the following:
    • Designing and implementing production cloud data estates
    • Developing and implementing production AI applications from first hypothesis to production
    • Network and application security at cloud-scale
  • 3+ years enterprise experience managing cross-functional and/or cross-team projects.

Preferred Qualifications:

  • Business maturity and experience working with upper-level executives and upper-level customer stakeholders.
  • Ability to work independently but seek guidance, coaching, and assistance from both direct leadership and the Americas CTO as needed.
  • Experience leadingco-engineering,co-innovation, and complex deliveryprograms with enterprise customers.
  • Experience leadingco-engineering,co-innovation, and complex deliveryprograms with enterprise customers.
  • Familiarity with AI governance, responsible AI frameworks, and ethical deployment practices.
  • Background in consulting, technical sales, or customer engineering roles.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Strategic Influence & Leadership

  • operatingunit leaders to define and embedco-engineeringand co-innovationmodels that align with customer outcomes.
  • Championcomplex delivery andAI transformation initiatives that empower customer engineering teams to deliver scalable, repeatable, and impactful solutions.
  • Serve as a thought leader and change agent, influencing cross-functional stakeholders to adopt modern engineering and AI practices.
  • Partner with industry operating unit leadership to establish and build proven industry capabilities to accelerate customer outcomes and innovation

Customer Engineering Innovation

  • Lead the design and deployment of reusable engineering frameworks, toolkits, and accelerators that enable co-development with customers.
  • Drive the integration of AIcapabilities into customer success engagements, ensuring alignment with business value and ethical AI principles.
  • Foster a culture of experimentation, agility, and continuous learning within customer engineering teams.

Operational Excellence

  • co-engineering and co-innovationon customer outcomes.
  • Collaborate with product,industry advisors,consulting, and account teamsto ensure feedback loops and innovation cycles are tightly integrated.
  • Scale successful modelswithin the operating unitsthrough playbooks, communities of practice, and enablement programs


Talent Development & Culture

  • Build and mentor a high-performing team of customer engineers and AI specialists.
  • Promote diversity, inclusion, and psychological safety to unlock creativity and innovation.
  • Inspire teams to embrace a growth mindset and customer-obsessed culture.

Other

  • Embody our and