Data and AI Architect , Professional Services Taiwan

We are seeking an experienced Data and AI Cloud Architect to join our AWS Professional Services team in this role you will work directly with enterprise customers particularly in the manufacturing and semiconductor industries to design and implement modern data platforms analytics solutions and AI/ML workloads on AWS. You will serve as a trusted technical advisor helping customers accelerate their cloud adoption journey and unlock business value from their data assets.

Key job responsibilities
Key Responsibilities

- Lead the architecture design and delivery of data and AI solutions on AWS for strategic customers in Taiwan with a focus on manufacturing and semiconductor verticals
- Design end-to-end data architectures including data lakes data mesh lakehouses streaming analytics and enterprise data warehouses using AWS services (e.g. Amazon S3 AWS Glue Amazon Redshift Amazon EMR Amazon Kinesis AWS Lake Formation)
- Architect and implement AI/ML solutions leveraging Amazon SageMaker Amazon Bedrock and other AWS AI services to address industry-specific use cases (predictive maintenance yield optimization defect detection supply chain optimization)
- Collaborate with customers technical and business stakeholders to define data strategies roadmaps and governance frameworks
- Lead technical workstreams within ProServe engagements mentoring junior architects and consultants
- Develop reusable assets frameworks and best practices for Data & AI solution delivery within the manufacturing and semiconductor domains
- Partner with AWS account teams solution architects and specialist teams to identify and shape new customer opportunities
- Contribute to thought leadership through whitepapers blog posts reference architectures and customer presentations
- Stay current with emerging AWS services and industry trends in data engineering analytics and generative AI


About the team
AWS Professional Services works with enterprise customers and partners to help them realize their desired business outcomes through cloud adoption. Our team assists customers in achieving the greatest value from AWS by providing guidance best practices and hands-on delivery support throughout their cloud journey.

Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
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Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

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Mentorship and Career Growth
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- Experience with AI/ML technologies
- Bachelors degree in Computer Science Engineering Data Science or a related field (or equivalent experience); 8 years of experience in data engineering data architecture or cloud architecture with 5 years hands-on designing and implementing data solutions on AWS or other major cloud platforms
- Deep expertise in data platform technologies: data lakes data warehouses ETL/ELT pipelines streaming architectures and data governance with proficiency in Python SQL Spark or Scala
- Strong customer-facing skills with the ability to communicate complex technical concepts to executive and technical audiences
- Fluency in Mandarin Chinese and English (written and verbal)

- AWS certification such as AWS Solutions Architect or a similar cloud certification or Cloud Technology Certification
- Experience at consulting firms or equivalent
- Domain expertise in manufacturing and/or semiconductor industries understanding of fab operations MES/ERP integration equipment health monitoring yield management process control (SPC/FDC) supply chain digitization and semiconductor-specific data challenges (high-volume time-series data wafer-level analytics APC predictive maintenance)
- Experience with Industry 4.0 / Smart Manufacturing initiatives including IoT digital twin edge-to-cloud architectures and OT/IT convergence for industrial data integration
- Experience with generative AI architectures including RAG patterns foundation model fine-tuning and AI agents
- Familiarity with data privacy and compliance requirements in the Taiwan market
- Experience leading large-scale data migration or modernization programs

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