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Microsoft Principal Architect Taiwan, Taoyuan City 670902756
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Required Qualifications:
- Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Proven experience building and shipping large-scale distributed systems and infrastructure services.
- Experience with large-scale data systems, optimizations and distributed system design.
- Solid organization, prioritization, and communication skills to drive clarity and alignment across teams.
- Track record of delivering high-impact systems within timelines and raising the technical bar for the organization.
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
- Master's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 15+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Expertise in ML systems design, including training pipelines, offline/online serving, and optimization for cost, latency, and throughput.
- Thought leadership in systems or ML architecture.
Responsibilities
- Advance large-scale distributed AI platform to improve usability, scalability, reliability, efficiency, and architectural clarity.
- Take R&D ideas from concept to production, delivering measurable business impact and better user experiences at scale.
- Act as the go-to expert for critical issues, unblock projects, and ensure architectural integrity and long-term sustainability.
- Develop and drive metrics frameworks to measure system performance, model quality, and overall platform effectiveness, enabling continuous improvement and data-driven decision making.
- Design and evolve agent-based workflows leveraging LLMs and SLMs, enabling reasoning-capable, adaptive, multi-step decision-making systems.
- Mentor technical leads and senior engineers, fostering a culture of engineering excellence.
- Align with partner teams on strategy, roadmaps, and timelines to ensure end-to-end delivery.
- Provide technical direction and ensure timely, high-quality delivery of complex, multi-quarter initiatives.
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