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

Do you think big about how Physical AI robotics and simulation technologies are converging with Generative AI to reshape industrial operations autonomous systems and the machines of tomorrow Would you like a career that puts you at the frontier of AI innovation - building prototypes that help customers harness digital twins synthetic training data and autonomous robots to solve real-world problems at scale 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 customers 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 this role youll 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. Youll leverage AWS AI services NVIDIAs simulation and training stack and cloud-native architectures to rapidly deliver solutions that show whats possible when intelligence meets the physical world.

Youll be a full-stack developer comfortable spanning multiple languages and frameworks capable of making principled architectural decisions about agent behaviors LLM integrations AI-driven simulation workflows and digital twin architectures. Youll have foundational exposure to Physical AI domains - digital twins robotic or discrete event simulation synthetic data generation with World Foundation Models and robot policy training - and bring the curiosity to go deeper. This isnt traditional consulting: youll be writing code designing simulation architectures and building breakthrough experiences that shape how industrial and technology organizations globally approach Physical AI adoption.

Position requires travel - generally 25%

Key job 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

A day in the life
Your morning starts with team standup where you and fellow Prototyping Architects align with your Technical Program Manager on customer momentum breakthrough patterns and hard problems at Physical AIs edge. Then into deep coding work building transformative spatial solutions: constructing digital twins integrating 3D perception with foundation models and orchestrating real-time spatial data pipelines on AWS. You make architectural decisions that drive measurable business outcomes: predictive maintenance through simulation immersive training experiences autonomous navigation in physical spaces.

Mid-morning brings a strategic conversation with customer leadership on how Physical AI and spatial architectures power their business. Afternoon: architecting an immersive experience with specialized spatial agents collaborating with Design Technologists on visualization. You document edge cases and patterns that become blueprints for future engagements. As day closes youre context-switching between production code architectural decisions and translating innovation into strategic language for leadership. Youre building solutions that illuminate the path for how enterprises adopt Physical AI.



About the team
The PACE team accelerates innovation for AWS customers setting the direction for enterprise adoption of transformative technologies. Were builders: Design Technologists Technical Program Managers and Prototyping Architects building solutions with world-class engineers using emerging technologies. We operate at technologys bleeding edge - embracing high-judgment experimentation as a catalyst for breakthrough innovation across Generative AI Agentic AI and Physical AI.

Youll 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.



- 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

- 3-5 years of experience designing implementing or consulting with Augmented Reality (AR) Virtual Reality (VR) Mixed Reality 3D or immersive applications
- 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.
- Comfort speaking with and presenting to executives IT managers and developers (internal and external)
- Experience architecting or operating solutions built on AWS
- Excellent verbal and written communication skills
- Experience with 3D geometry workflows such as 3D Scanning Material and Texture Development and Real Time Rendering.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status disability or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees supervisors and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees supervisors and staff to ensure exceptional customer service; and follow all federal state and local laws and Company policies. Criminal history may have a direct adverse and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above as well as the abilities to adhere to company policies exercise sound judgment effectively manage stress and work safely and respectfully with others exhibit trustworthiness and professionalism and safeguard business operations and the Companys reputation. Pursuant to the Los Angeles County Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records.

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