Prototyping Architect (Physical AI), AWS Prototyping and AI Customer Engineering (PACE)
AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and comprehensive support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success.
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. In this role, you'll work hands-on with customers to architect and build production-ready prototypes spanning Generative AI, agentic workflows, 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 role 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
Basic Qualifications
- 5+ years of design, implementation, or consulting in applications and infrastructures experience.
- Intellectual curiosity to keep technical skills current and stay abreast of industry trends and applications.
- Demonstrated ability to adapt to new technologies and learn quickly.
- BS level technical degree required; Computer Science or Mathematics background preferred.
- Excellent verbal skills and ability to explain technical concepts to a variety of audiences.
- Strong written communication skills.
Preferred Qualifications
- 3-5 years of experience designing, implementing, or consulting with Augmented Reality (AR), Virtual Reality (VR), Mixed Reality, 3D, or immersive applications.
- Comfort speaking with and presenting to executives, IT managers, and developers (internal and external).
- Experience architecting or operating solutions built on AWS.
- Experience with 3D geometry workflows, such as 3D Scanning, Material and Texture Development, and Real-Time Rendering.
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.
Benefits
Amazon offers comprehensive benefits including:
- Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance, and optional supplemental life plans).
- Employee Assistance Program (EAP), Mental Health Support, Medical Advice Line.
- Flexible Spending Accounts.
- Adoption and Surrogacy Reimbursement coverage.
- 401(k) matching.
- Paid time off and parental leave.
Pay
The base salary range for this position in Mountain View, CA is $176,600 - $239,000. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.