Software Jobs in Yantian District, China (Now Hiring) — 17 open

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[AWS China Introduction] Amazon Web Services came to China in 2013, and has been relentlessly investing and expanding our infrastructure and business since then. Amazon Web Services launched its China (Beijing) Region (operated by Sinnet) in September 2016 and its China (Ningxia) Region (operated by NWCD) in December 2017. In 2019, Amazon Web Services added a new region in Hong Kong, making China the only country with three Amazon Web Services regions aside from the U.S. In 2022, Amazon Web Services launched Local Zone in Taipei. Amazon Web Services has also established an AI lab in Shanghai and two IoT labs in Shenzhen and Taipei. The Amazon Web Services Partner Network has thousands of Partners in China. Amazon Web Services has supported over 10,000 local startups and has provided cloud skills training to over 700,000 talents. Amazon’s first two utility-scale renewable projects—a solar farm and a wind farm—are also generating clean energy to the country’s grid.

Build the future of AI innovation alongside AWS's most forward-thinking customers. The AWS Prototyping and AI Customer Engineering (PACE) team transforms ambitious ideas into working Generative AI and Agentic AI prototypes in days and weeks - not months - and we need world-class builders who can turn customer visions into reality. If you're passionate about full-stack development, love experimenting with AI technologies, and thrive on shipping prototypes that demonstrate what's possible with large language models, autonomous agents, and multi-agent systems, this is your opportunity to make history.

In this role, you'll work hands-on with customers to architect and build production-ready AI prototypes using the latest Generative AI technologies - from prompt engineering and RAG architectures to function calling, autonomous agents, and complex multi-agent orchestration. You'll leverage AI-driven development tools to write code faster, exploring agentic workflows where AI systems can reason, plan, use tools, and collaborate to solve complex problems. You'll be a full-stack developer comfortable with multiple languages and frameworks, combining modern application patterns with AWS AI services to rapidly deliver solutions that showcase the transformative potential of Generative AI and Agentic AI. This isn't traditional consulting - you'll be writing code, making architectural decisions about agent behaviors and LLM integrations, and creating breakthrough experiences that influence how organizations globally approach AI adoption.

Position requires travel - generally 25%

Key job responsibilities
- Architect and build working Generative AI and Agentic AI prototypes directly with customers using AWS AI services (Bedrock, SageMaker, Kiro/Q Developer) and cloud-native architectures, including autonomous agents, multi-agent systems, RAG architectures, and LLM-powered applications that demonstrate production-ready solutions
- Leverage AI-driven development tools (Cursor, Kiro, Q Developer, Cline, Windsurf) to accelerate prototype development, implementing patterns like prompt engineering, function calling, agent orchestration, and tool use
- Serve as a trusted technical advisor to customers on LLM selection, agent design patterns, agentic architectures, and AI adoption strategies, guiding them through complex technical decisions and trade-offs
- Collaborate with Technical Program Managers and Design Technologists to deliver customer engagements on time, while partnering with AWS service teams to provide feedback and influence AI product roadmaps
- Create and share reusable patterns and thought leadership through agent frameworks, code libraries, technical content, whitepapers, blogs, and conference presentations that accelerate Generative AI and Agentic AI adoption across the AWS customer base

A day in the life
Your morning starts with team standup where you and fellow Prototyping Architects align with your Technical Program Manager on customer momentum, breakthrough patterns, and hard problems at agentic AI's edge. Then into deep coding work building transformative agentic solutions, orchestrating multi-agent patterns integrated with AWS AI services. You make architectural decisions that drive measurable business outcomes: faster resolution, smarter recommendations, autonomous scaling. Mid-morning brings a strategic conversation with customer leadership on how agentic architectures power their business. Afternoon: architecting a retail shopping assistant with specialized agents, collaborating with Design Technologists. You document edge cases and patterns that become blueprints for future engagements. As day closes, you're context-switching between production code, architectural decisions, and translating innovation into strategic language for leadership. You're building solutions that illuminate the path for how enterprises adopt transformative AI.

About the team
The PACE team accelerates innovation for AWS customers, setting the direction for enterprise adoption. We're builders: Design Technologists, Technical Program Managers, and Prototyping Architects building solutions with world-class engineers using emerging technologies. We operate at technology's bleeding edge, embracing high-judgment experimentation as a catalyst for breakthrough innovation. We own decisions, partner with forward-thinking customers across industries, and move at unprecedented speed, delivering functional prototypes in weeks and scaling learnings across enterprises. Our work shapes how industries adopt transformative technology. We engage with customer executives, collaborate on novel problems, and drive impact globally.

Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.

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 & 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.

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.
Basic Qualifications: - Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, or experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware
- Experience in written and verbal communication with the ability to present complex technical information in a clear and concise manner to executives and non-technical leaders
- 3-5 years experience in designing, building, refactoring or operating solutions - either on premises or in the cloud
- Deep knowledge of software development tools, agile methodologies, active, hands-on coding, and application design experience, with the proficiency developing in one or more modern programming language, tools and frameworks (e.g Python, Java, R, Scala, Spark, Kafka, Hadoop ecosystem, Presto, Hive, Teradata, Elasticsearch, and among others)
- Experience using GenAI development tools (e.g. code assistants/agents, AI-powered IDEs/CLIs) to support software development tasks Preferred Qualifications: - Experience with designing and building application using AWS services such as Lambda, AWS Elastic Beanstalk, Kubernetes
- Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
- Experience implementing cloud services including migrations and modernization projects or similar
- Experience with iterative, agile development methodologies (including scrum)
- Experience communicating clearly and concisely with leadership, stakeholders, and cross-functional teams
- Experience in strategic thinking about business, enterprise software products, and new technology platforms and architectures or equivalent
- Experience in creating process improvements with automation and analysis, or experience troubleshooting problems and offering solutions to streamline complex challenges

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