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Description

We are seeking an experienced Data and AI Cloud Architect to join our AWS Professional Services team in Taiwan. 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

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, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.