
Prototyping Architect, Prototyping and Cloud Engineering (PACE)
Last Date to Apply: July 15, 2025
ApplyAdded Today : 58
Expired Today : 1678
Amazon
AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector.
Experimentation fuels Amazon’s innovation. If you are a highly creative hands-on builder, who is passionate about technology, understand cloud architectures & platforms, are quick to pick up emerging technologies, and like to build solutions that prove functional value- this could be the role for you!
AWS Prototyping and Cloud Engineering (PACE) team is seeking a Prototype Architect, to support our rapidly growing and dynamic business. The PACE team helps customers experiment with emerging technology through building early iterations of products and solutions, often exploring new technical grounds and industry first solutions with technology like artificial intelligence and machine learning, generative AI, robotics, deep learning, spatial compute, and server-less architectures etc. Our purpose is to empower customers to innovate faster, think bigger, and help bring their ideas to life.
You'll work closely with AWS Field Teams including Account Managers, Solution Architects, Technical Account Managers, to partner with customers to solve complex problems with emerging technologies.
Key job responsibilities
- Drive customer outcomes and AWS service adoption, by building functional prototypes that accelerate AWS customers' experimentation journey.
- Combine design and architecture knowledge with development capability, participate and contribute in deep-dive design exercises and architectural discussions, to build world-class solutions on AWS.
- Conduct one-to-one, one-to-few and one to many sessions, to transfer knowledge to customers, partners, and internal teams.
- Take the initiative to learn and experiment with emerging technologies in areas of Generative AI, Machine Learning, Blockchain, AR/VR, IoT, etc. in an enterprise context.
- Author or contribute to AWS customer-facing publications such as whitepapers, tutorials, blogs, open-source code repositories etc.
About the team
Diverse Experiences
AWS 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 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. - 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 3+ years of design, implementation, or consulting in applications and infrastructures experience
- Knowledge of software development tools and methodologies
- Experience working with one or more modern programming language: Java, Python, Javascript, GoLang, React, AngularJS, CSS, etc.)
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