Sr. Prototyping Architect, PACE, AWS Prototyping and AI Customer Engineering (PACE)

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 yesterdays 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. Youll demo progress to customers adjust based on their feedback pair with Design Technologists on the experience layer and document patterns so the next team doesnt 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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 its 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
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll 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 theres nothing we cant achieve in the cloud.

- 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

- 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.