Principal Silicon Architect jobs at Microsoft in Taiwan, Taoyuan City

and multi-disciplinary group of scientists,

Principal Data & Applied Scienwork ongroundbreaking andhigh-impact projects at the intersection of AI and software engineering. In this role, you will drive the development and application of advanced data science techniques—especially those involving LLMs—to real-world developer workflows.. You will have the opportunity to design and lead experiments, build and evaluatemodels (including RAG pipelinesand evaluation frameworks), andinsights into scalable product features. Most importantly,play a key role in bridging

Required/Minimum Qualifications:

• degree in Computer Science, Engineering, Mathematics, Statistics

• +yearsexperiencewith strongproficiencyinPython, machine learning frameworks,and experience developing and deploying generative AI or machine learning models into production. (Experience withadditionalprogramming languages is a plus but notrequired

Preferred Qualifications

• or PhD degree in Computer Science, Statistics, or related fields (undergraduates with significantappropriate experiencewill be considered).

• Strong professional experience in statistics, machine learning, including deep learning, NLP, econometrics.

• Experience in building cloud-scale systems and experience working with open-source stacks for data processing and data science is desirable.

• Experience with LLMs in natural language, AI for code or related fields

• Excellent communication skills, ability to present andwritereports, strongteamworkand collaboration skills.

• Experience in productizing AI and collaborating with multidisciplinary teams.

• researchand productization ofstate-of-the-art in AI for Software Engineering

• Build and manage large-scale AI experiments and models.

• Drive experimentation through A/B testing and offline validation to evaluate model performance.

• and geographieswith product teamsinMicrosoft and Github

• Stay up to date with the research literature and product advances in AI for software engineering

• Collaborate with world renowned experts in programming tools and developer tools to integrate AI across software development stack for Copilot

• Lead others by exemplifying growth mindset, inclusiveness, teamwork, and customer obsession

Required/Minimum Qualifications:

• Bachelor’s degree in computer science, Information Technology, Engineering, or a related field AND 6+ years of experience in cloud/infrastructure technologies, software development/support, analytics/BI system development, or artificial intelligence (AI).

• Deep understanding of Cloud Infrastructure, Cloud Native solutions, containerization, and Dev sec ops.

• Familiarity with at least one development language (e.g., Python, Java, Go, C#, JavaScript, Scala).

• Problem Solving. Ability to solve customer problems through cloud technologies required

• 6+ years of experience in customer-facing IT project delivery.

Additional or Preferred Qualifications:

• Master’s degree in computer science, Information Technology, Engineering, or a related field AND 6+ years of experience in cloud/infrastructure technologies, software development/support, analytics/BI system development, or artificial intelligence (AI).

• Proficiency in multiple development languages (e.g., Python, Java, Go, C#, JavaScript, Scala).

• 8+ years of experience in customer-facing IT project delivery.

• 8+ years of experience leading technical projects.

• Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google Cloud, Alibaba Cloud, Tencent Cloud, security certifications).

Essential Skills:

• OpenAI/AI, Llama, Deepseek, Copilot including Github Copilot and Studio, and Cognitive services
• Microservices and containerization with Azure Kubernetes Services
• Advanced Analytics (Azure Synapse, Databricks, visualization tools such as PowerBI, Tableau, QuickBI)
• NoSQL Databases including OSS (Cassandra, Mongo, HBase, etc.), Cosmos DB

• Understand customers’ overall data estate, IT and business priorities and success measures to design implementation AI based architectures and solutions.

• Consumption (Cloud & Support) growth - Develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments.

• Apply technical knowledge to architect solutions that meet business and IT needs, be advisor for customer’s Azure AI Platform strategy, applications modernization through microservices on Azure Kubernetes services, AA/AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and AI technologies where appropriate (e.g. Azure ML, Azure AI Services including AI Search, Azure OpenAI, Copilot including Github Copilot and Studio, Cognitive Services, Spark, Data Lake, Azure Synapse, etc.)

• Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability and reliability upon deployment.

• Be a Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers. Deliver according to MS best practices & using repeatable Intellectual Property (IP) and Value Based Delivery (VBD).

• Assess the Customers' knowledge of Azure platform and overall cloud readiness to support customers through a structured learning plan and ensure its delivery through partners.

• Collaborate with other Solution Engineers and other Cloud Solution Architects in developing complex end-to-end Enterprise solutions on Microsoft Azure platform.

• Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the technical community while educate customers on Azure platform.

• Be an Azure Platform evangelist with customers, partners and external communities.

a PrincipalDigital Cloud Solution Architect (DCSA)or government systems. You will serve as thecentral point

Required/Minimum Qualifications

• yearsexperiencein technical architect, technical consulting, design and implementation, and/or technical sales

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 6+years experiencein technical architect, technical consulting, design and implementation, and/or technical sales

• OR Relevant certifications from Microsoft or competitive platforms AND 5+years experiencein technical architect, technical consulting, design and implementation, and/or technical sales

• OR equivalent experience.

• 5+ years of experience with cloud solution sales
• Fluency in English, both written and verbal, required to effectively communicate across global teams and produce high-quality documentations
  

or Preferred Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, or related field AND 12+years experiencein technical architect, consulting, design and implementation, and/or sales

• OR equivalent experience.

• yearsexperiencewith cloud-based solution designs,migrationsand management of technology.
• Multilingual proficiency - particularly in languages relevant to the role’s geographic scope or customer base
  

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

offers for these roles on an ongoing basis.

• You will lead, drive, and manage engagements for repeatable achievement of revenue and consumption targets.

• leveragepractices to guide customer strategy and future growth to expand the use of Azure by cultivating customer affinity with Microsoft programs/solutions that drive impact for the customer andestablishing

• retains, and/oroptimizesthe customer’s Azure consumption.

• You will run Architectural Design Session(s) to build plans for implementing solutions which align to customer business goals and technical environments.

• You will collaborate and orchestrate with other Digital Cloud Solution Architects and the Microsoft ecosystem to ensure properly deployed cloud solutions on Azure.

• identifyperformance plans in weekly deal and pipeline reviews with their manager.

• Other: Embody our

Your focus will be to lead the

• Bachelor’s degree in Computer Science, Engineering or related field or equivalent work experience
• Substantial experience in Change Management and Adoption.
• Deep understanding of Microsoft 365, Azure AI, and Copilot technologies.
• Strong communication and stakeholder management skills, with the ability to influence at all levels.
• Passion for innovation, customer success and continuous learning.
• Fluent in English; Dutch or French is a plus.

Some of your responsibilities include:

• Be a trusted advisor and drive business value through AI Transformation : Create business value by translating customer challenges into actionable solutions aligned to high ROI customer outcomes. Ensure a seamless, connected experience that fosters satisfaction, loyalty, and long-term value.
• Lead Adoption Strategy : Design and execute tailored adoption and change management plans that align with customer business objectives and Microsoft’s AI vision.
• Drive Organizational Change : Guide customers through the cultural and operational shifts required to embed Copilot into daily workflows.
• Champion Business Value : Translate technical capabilities into measurable business outcomes, using ROI models, usage analytics and success metrics.
• Enable Stakeholders : Engage executive sponsors, change agents and champions to build momentum and sustain adoption across departments.
• Deliver Readiness & Training : Facilitate workshops, onboarding sessions, and enablement programs to upskill users and ensure Copilot readiness.
• Collaborate Across Teams : Partner with sales, engineering, and partners to ensure seamless delivery and customer success.
• Contribute to IP & Scale : Help build reusable assets, playbooks, and best practices to scale adoption efforts across regions.
• Embrace a growth mindset: Act as the voice of the customer by proactively sharing insights, feedback and success stories to inform internal strategy and execution.
• Learn-it-all:

The Security Models Training team builds and operates the large-scale AI training and adaptation engines that power Microsoft Security products, turning cutting-edge research into dependable, production-ready capabilities. As a, you will lead end-to-end model development for security scenarios, including privacy-aware data curation, continual pretraining, task-focused fine-tuning, reinforcement learning, and rigorous evaluation. You will drive training efficiency on distributed GPU systems, deepen model reasoning and tool-use skills, and embed responsible AI and compliance into every stage of the workflow. The role is hands-on and impact-focused, partnering closely with engineering and product to translate innovations into shipped experiences, designing objective benchmarks and quality gates, and mentoring scientists and engineers to scale results across globally distributed teams. You will combine strong coding and experimentation with a systems mindset to accelerate iteration cycles, improve throughput and reliability, and help shape the next generation of secure, trustworthy AI for our customers.

Required Qualifications:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 8+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 5+ years related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience.
• 3+ years experience presenting at conferences or other events in the outside research/industry community as an invited speaker.
• Proven track record training and shipping large language models or multimodal models for production scenarios, including continual pretraining and task specific adaptation.
• Proficiency in Python and PyTorch, with hands-on experience building and debugging large-scale training jobs.

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 background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Security domain experience in one or more areas: security operations, threat intelligence, malware analysis, vulnerability and posture management, anomaly detection, phishing and fraud detection, or cloud identity and access.
• Experience with distributed training and scaling techniques, for example DeepSpeed, FSDP, ZeRO, model and pipeline parallelism, mixed precision, and profiling.
• Experience with privacy preserving ML including differential privacy concepts, privacy risk assessment, and utility measurement on privatized data.

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 October 21, 2025.

• Lead the full modeling lifecycle for security scenarios, from data ingestion and curation to training, evaluation, deployment, and monitoring.
• Architect and optimize large-scale distributed training on GPU clusters, improving throughput, reliability, and cost efficiency.
• Design and implement privacy-preserving data workflows, including anonymization, templating, synthetic augmentation, and quantitative utility measurement.
• Develop and maintain fine-tuning and adaptation recipes for transformer models, including parameter-efficient methods and reinforcement learning from human or synthetic feedback.
• Establish objective benchmarks, metrics, and automated gates for accuracy, robustness, safety, and performance, enabling repeatable model shipping.
• Collaborate with engineering and product teams to productionize models, harden pipelines, and meet service-level objectives for latency, throughput, and availability.
• Mentor applied scientists and engineers, promote strong documentation and experiment hygiene, and foster a culture of rapid iteration grounded in responsible AI principles.
• Contribute to thought leadership by staying current with the latest AI advances and translating promising techniques into practical, measurable impact.

The Solution Architectis responsible fortranslating the client’s business requirements into specific systems, applications, or process designs forvery largecomplex technology solutions and architectures.As a Solution Architectjointly drive project/technical governance of the design, build, and deployment into use.

Technical Skills Required

• Azureand Microsoft 365.

• Deep functional and technical knowledge of Dynamics 365 CE including Marketing, Sales, Customer Service, Contact Centre, Field Service, Project Operations and Copilot.

• Deep knowledge of Power Platform including Power Apps (Model Driven and Canvas), Power Automate, Power Pages, Power Virtual Agents.

• A good understanding of Integration and Data migration platforms.

• A good understanding of DevOps processes.

• Demonstrated experience in the delivery of complex and large-scale applications based on Dynamics 365 CE.

• Experience working in Waterfall, Iterative and Agile methodologies.

Non-Technical Skills Required

• Excellent relationship building and influencing skills with the ability to engage with various stakeholders including internal, external and partner organisations.

• Strong communicationskills.

• Ability to present complex ideas and solutions to various levels of internal and external stakeholders.

Certifications

• Microsoft Power Platform Functional Consultant (PL-200)

• Microsoft Power Platform Solution Architect (PL-600)

• Microsoft Dynamics 365 Sales Functional Consultant (MB-210

• Dynamics 365 Solution Architect responsible for providing technicalexpertiseand leadership across Pre-Sales and Delivery.

• Act as a mentor to delivery teams to help shape the solution and provide Quality assurance and guardrails to ensure successful delivery.

• Evaluate client requirements and align solution to Microsoft D365 CE and Power Platform offerings.

• Develop end-to-end solutions based on Dynamics 365 and Microsoft stack including identification of relevant technology components based on functional and non-functional requirements.

• Develop high quality proposals, clientpresentationsand demonstrations.

• Develop and Harvest solution IP, assets/acceleratorsand support go-to-market activities.

• Lead delivery engagements including planning and leading workshops.

• ASEANand Asia.

At Small Medium Enterprises and Channel (SME&C), we are leading a high-growth, AI-powered global sales team—one that is deeply connected to our partners and driven by customer success. By uniting our Small Medium Business, Corporate, Strategy, and Partner teams, we are unlocking the largest customer opportunity, backed by the industry’s most significant investments. Leveraging the power of AI and our extensive partner ecosystem, we are redefining how businesses of all sizes adopt technology to drive growth and innovation. SME&C is more than a sales organization—a culture of innovation, opportunity, and inclusivity. Here,be part of a diverse, high-performing, and customer-obsessed team where collaboration, connection, and continuous learning fuel everything we do. If you thrive in a fast-paced, digital-first environment and are eager to make a meaningful impact, explore how SME&C can be the next step in your career. Together, we arethe future of business.

looking for a Cloud Solution Architect (CSA) who specializes in data platforms and analytics to help customers build secure, scalable, and AI-ready solutions on Microsoft Azure. In this customer-facing role,deliver engagements that span architecture design, proof of concepts, and production deployments, ensuring performance, resiliency, and security across mission-critical workloads. As part of the Cloud + AI Data team,existing Repeatable IP and execution engines with accountability to drive delivery excellence, accelerate adoption, and ensure a successful deployment for the customer for services like Microsoft Fabric, Azure Databricks, Cosmos DB, and Purview.collaborate with engineering teams, share best practices, and stay current with evolving trends to help customers unlock the full value of their data and AI investments.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. Aswe come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications (RQs)

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 4+years experiencein cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting

• OR equivalent experience

Preferred Qualifications (PQs)

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 8+years experiencein cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting

• Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 6+years experiencein cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting

• OR equivalent experience

• yearsexperienceworking in a customer-facing role (e.g.,internaland/or external).

• yearsexperienceworking on technical projects

• Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications)

Required Technical Qualifications:

• 5+ years of experience in cloud solution architecture with a focus on data platforms.

• expertisewith:

• Azure SQL (single database, managed instance, SQL Server on VM)

• Azure Synapse Analytics

• Azure Data Lake Storage Gen2

• Azure Cosmos DB

• Azure Database for PostgreSQL and MySQL

• Proven success in migrating and modernizing data platforms to Azure.

• Strong understanding of:

• ETL/ELT pipeline design using Azure Data Factory

• Data ingestion frameworks (Event Hubs, Stream Analytics)

• Data governance with Microsoft Purview

• Deep knowledge of performance tuning, high availability, and backup strategies.

• in Lakehouse, Warehouse, and Real-Time Intelligence workloads.

• Experience withOneLakeintegration, Fabric Notebooks, and KQL database connectivity.

• Familiarity with Fabric certifications (Data Engineer Associate, Analytics Engineer Associate).

Azure Databricks Expertise:

• Advanced skills in Azure Databricks for data engineering and machine learning.

• Experience with Unity Catalog, Delta Lake, andMLflow.

• Ability to integrate Databricks with Microsoft Fabric for unified analytics.

• Knowledge of Databricks Platform Architect Accreditation.

• • Engage with customer IT and business leaders to understand their data estate, priorities, and success measures, and design secure, scalable Data & AI solutions that deliver measurable business value.
  • Lead architecture design sessions, develop Data & Analytics roadmaps, and drive Proof of Concepts (POCs) and Minimum Viable Products (MVPs) to accelerate adoption and ensure long-term technical viability.
  • Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM.
  • Deliver repeatable intellectual property (IP) to achieve targeted outcomes, accelerate Azure Consumed Revenue (ACR), and contribute to centralized IP development initiatives.
  • Provide delivery oversight and escalation support for key Factory engagements across Data & Analytics workloads.
  • Drive technical excellence by leading the health, resiliency, security, and optimization of mission-critical data workloads, ensuring readiness for production-scale AI use cases.
  • Identifyand resolve technical blockers, share customer feedback with engineering teams, and influence product improvements through Voice of the Customer insights.
  • Maintain deep technicalexpertiseand stay current with market trends, competitive insights, and Microsoft’s evolving data and AI capabilities.
  • Be accredited and certified to deliver with advanced and expert-levelproficiencyin priority workloads including Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, PostgreSQL, MySQL, and Cosmos DB.
  • Demonstrate a growth mindset by continuously aligning your skills to team and customer needs, contributing to technical communities, and mentoring others to accelerate customer outcomes.