Prototyping Architect (Physical AI), AWS Prototyping and AI Customer Engineering (PACE)

About the role

Amazon Web Services (AWS) is looking for a Prototyping Architect who thrives at the intersection of cloud computing, Generative AI, and Physical AI—someone who can turn a customer's vision of an intelligent physical system into a working prototype in weeks. The AWS Prototyping and AI Customer Engineering (PACE) team transforms ambitious ideas into working prototypes—faster than customers thought possible—and we need world-class builders who combine deep software craftsmanship with curiosity about physical systems.

In this role, you'll work hands-on with customers to architect and build production-ready prototypes spanning the full spectrum of modern AI: from Generative AI and agentic workflows to simulation environments, synthetic data pipelines, and robotic model training. You'll leverage AWS AI services, NVIDIA's simulation and training stack, and cloud-native architectures to rapidly deliver solutions that show what's possible when intelligence meets the physical world. This position requires travel—generally 25%.

Responsibilities

• Architect and build working Generative AI, Agentic AI, and Physical AI prototypes directly with customers using AWS AI services (Bedrock, SageMaker, IoT TwinMaker, IoT SiteWise) and cloud-native architectures—including autonomous agents, RAG architectures, LLM-powered applications, and simulation-driven workflows that demonstrate production-ready solutions.
• Design and build Physical AI prototypes spanning digital twin environments, discrete event simulation, robotic policy training pipelines, and synthetic data generation—leveraging tools such as NVIDIA Omniverse, Isaac Sim, AWS VAMS, and AWS-native compute and storage services.
• Leverage AI-driven development tools (Cursor, Kiro, Q Developer, Claude Code) to accelerate prototype development, implementing patterns like prompt engineering, function calling, agent orchestration, tool use, and simulation pipeline automation.
• Serve as a trusted technical advisor to customers on LLM selection, agent design, Physical AI architecture, and AI adoption strategy—guiding them through complex technical decisions and trade-offs across both software-defined AI and physical systems.
• Collaborate with Technical Program Managers, Design Technologists, and fellow Prototyping Architects to deliver customer engagements on time and with lasting impact, working across the full Physical AI flywheel from spatial data and simulation through to model training and deployment.
• Create and share reusable patterns and thought leadership through simulation frameworks, code libraries, technical content, whitepapers, blogs, and conference presentations that accelerate both Generative AI and Physical AI adoption across the AWS customer base.
• Work across the AWS ecosystem to distill customer needs and influence product features and roadmaps for Physical AI and simulation workloads, acting as a technical liaison between customers, service engineering teams, and AWS partners including NVIDIA.

Qualifications

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed, 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.

About the team

The PACE team accelerates innovation for AWS customers, setting the direction for enterprise adoption of transformative technologies. 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 across Generative AI, Agentic AI, and Physical AI.

You'll work alongside a team of Prototyping Architects who together cover the Physical AI innovation lifecycle—from spatial data and 3D pipelines through simulation, synthetic data, model training, and edge deployment. We engage with customer executives, collaborate on novel problems, and drive impact globally across manufacturing, aerospace, retail, logistics, construction, and beyond.

Benefits

• 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.
• Mentorship & Career Growth: We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. You’ll find endless knowledge-sharing, mentorship, and career-advancing resources 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.