Experimentation fuels Amazon's innovation. If you are a highly creative hands-on-keyboard builder who is passionate about solving real-world business problems, understands cloud architectures & platforms, is quick to pick up emerging technologies, and likes to build solutions that prove functional value — this could be the role for you!
AWS Prototyping & Cloud Engineering (PACE) turns ambitious customer ideas into functional prototypes in days, not months, helping customers experiment with emerging technologies through building early iterations of products and solutions, often exploring new technical grounds and building industry-first solutions with technologies like Generative AI, Agentic AI, machine learning, robotics, deep learning, spatial compute, IoT, and serverless architectures.
We're looking for a Senior Prototyping Architect — a hands-on, full-stack builder with deep cloud expertise and an insatiable curiosity for technology. You won't advise from the sidelines. You'll write code, make architectural decisions about agent behaviors and LLM integrations, and ship prototypes that prove what's possible and change how organizations adopt transformative technology. You'll work closely with AWS Field Teams including Account Managers, Solution Architects, Technical Account Managers, and External System Integration Partners to solve complex customer problems with emerging technologies.
If you have an AI-first mindset, a natural instinct to experiment with the newest technologies, track record of creatively using technology across the full stack to solve hard business problems — we want to talk.
Key job responsibilities -Drive customer outcomes and AWS service adoption by building functional prototypes — spanning autonomous agents, multi-agent orchestration, RAG architectures, and LLM-powered applications using AWS AI/ML services and cloud-native architectures. -Leverage AI-driven development tools (ex. Kiro, ClaudeCode, Cline) to accelerate development cycles. -Educate customers on AWS services, understand and anticipate their business needs, and participate in deep architectural design discussions to ensure prototypes are built for successful production scaling. -Act as a technical liaison between customers, partners, service engineering teams, sales, professional services, and support. Work closely with AWS field teams to solve complex problems with emerging technologies. -Work with AWS Partners as a strategic extension of PACE — advising on prototyping methodologies and overseeing partner-led delivery quality. -Act as a Thought Leader; author or contribute to whitepapers, blogs, open-source repositories, and conference presentations. Provide feedback to shape AWS product roadmaps. -Push the technical bar by experimenting with emerging technologies. Mentor and support others in the AWS Solutions Architect community.
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.
Basic Qualifications
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience in software development, or experience that includes strong analytical skills, attention to detail, and effective communication abilities and experience with automation and any version control tools
- Experience in communicating with users, other technical teams, and senior leadership to collect requirements, describe software product features, technical designs, and product strategy
- Proficiency developing in one or more modern programming language; Full-Stack development skills: Java, Python, Javascript, GoLang, React, AngularJS, CSS, etc.).
- Working knowledge of AI/ML technologies, with demonstrated interest in or exposure to Generative AI, large language models, or agentic AI systems.
- Must be able to drive discovery discussions, clearly scope out problems, whiteboard technical architectures and quickly go hands-on keyboard implementing them.
Preferred Qualifications
- Knowledge of AWS services, market segments, customer base and industry verticals
- AWS certification, such as, AWS Solutions Architect, or a similar cloud certification
- Hands-on experience building Generative AI or Agentic AI systems: multi-agent orchestration, tool use, autonomous reasoning patterns, RAG architectures.
- Experience managing or advising partner-led technical delivery, including quality oversight and architectural governance.
- Proficiency in leveraging AI-driven development workflows to accelerate prototyping and delivery.
- Experience working with Machine Learning and GenAI tools, including code assistants.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.