Amazon Web Services (AWS) is looking for a Prototyping Architect with strong software engineering skills and a passion for building innovative solutions that show customers the art of the possible. You will join the Prototyping and AI Customer Engineering (PACE) team, an agile group of builders obsessed with understanding customer needs and partnering with them to experiment with new ideas that open up new markets or transform how they deliver products and services.
In this role, you will use your software development skills to build functional prototypes using Generative AI, Agentic AI, Machine Learning, and Serverless Architectures. You will apply software engineering best practices to ensure prototypes provide a solid foundation for production solutions. We foster a creative environment where experimentation is encouraged. Move fast, learn from failures, and iterate toward breakthrough outcomes.
Key job responsibilities
- Architect and develop functional Generative AI and Agentic AI prototypes directly with customers using AWS AI services (Amazon Bedrock, Amazon SageMaker), including autonomous agents, multi-agent systems, RAG architectures, and LLM-powered applications that demonstrate a clear path to production
- Leverage AI-driven development tools and modern engineering practices to rapidly build and iterate on prototypes, implementing patterns such as prompt engineering, function calling, agent orchestration, and tool use
- Guide customers through complex technical decisions on LLM selection, agent design patterns, agentic architectures, and AI adoption strategies, translating business requirements into actionable technical approaches
- Partner with Technical Program Managers, Design Technologists, and field teams to deliver customer engagements on time and with high quality, while providing feedback to AWS service teams to influence AI product roadmaps
- Develop and share agent frameworks, code libraries, reference architectures, whitepapers, blogs, and conference presentations that accelerate Generative AI and Agentic AI adoption across the AWS customer base
- Continuously research and experiment with new AI/ML capabilities, agentic patterns, and cloud-native architectures to bring innovative solutions to customer engagements
- Position requires up to 25% travel within LATAM
A day in the life Your day starts at a daily team meeting, syncing with fellow Prototyping Architects and your TPM on active engagements, blockers, and lessons from yesterday's experiments. Most of your time goes to heads-down coding: building agentic AI prototypes, testing against real customer data, making architectural trade-offs that hold up in production. You'll demo progress to customers, adjust based on their feedback, pair with Design Technologists on the experience layer, and document patterns so the next team doesn't start from scratch. Some days are deep single-engagement focus, others are a mix of code reviews, customer calls, and writing up reusable frameworks.
About the team The Prototyping and AI Customer Engineering (PACE) team is an elite group of hands-on builders within AWS. Through rapid, time-boxed prototyping engagements, PACE helps customers explore the art of the possible with AWS, turning bold ideas into working solutions that demonstrate real business value. PACE operates at the frontier of emerging technology, with deep expertise in Generative AI, Agentic AI, AI/MAL, and modern agentic application development.
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 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 Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
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
- 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- Working knowledge of AI/ML technologies, with particular interest in or exposure to Generative AI, large language models, or emerging AI technologies
Preferred Qualifications
- Proven experience architecting production-grade solutions on AWS, with specific experience in generative AI and large language model services
- Hands-on experience building agentic AI systems: multi-agent orchestration, tool use, autonomous reasoning patterns
- Proficiency in leveraging AI-driven development workflows to accelerate prototyping and delivery
- Track record of delivering customer prototypes and POCs that shaped enterprise adoption strategies
- AWS Certifications (Solutions Architect, Developer, or Machine Learning) or equivalent
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.