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

Amazon Web Services (AWS); Seattle (WA); On-site; USD 153,600 - 207,800; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Web Services (AWS) is seeking a Prototyping Architect to turn customer visions of intelligent physical systems into working prototypes within weeks. You will work across Generative AI, agentic workflows, and simulation environments, leveraging AWS AI services and NVIDIA tools to deliver production-ready prototypes.

You’ll write code, design simulation architectures, and help enterprises adopt Physical AI at scale.

Qualifications

• 5+ years of design, implementation, or consulting in applications and infrastructures
• BS level technical degree required; Computer Science or Mathematics background preferred
• Excellent verbal and written communication skills
• Demonstrated ability to adapt to new technologies and learn quickly

Responsibilities

• Architect and build working Generative AI, Agentic AI, and Physical AI prototypes directly with customers using AWS AI services and cloud-native architectures
• Design and build Physical AI prototypes spanning digital twin environments, discrete event simulation, robotic policy training pipelines, and synthetic data generation
• Leverage AI-driven development tools to accelerate prototype development, implementing patterns like prompt engineering and agent orchestration
• Serve as a trusted technical advisor to customers on LLM selection, agent design, and AI adoption strategy
• Collaborate with Technical Program Managers and Design Technologists to deliver customer engagements on time and with impact
• Create and share reusable patterns and thought leadership through simulation frameworks, code libraries, and whitepapers

Skills

Design experience

Adapt to new tech

Excellent communication

Problem-solving

Education

BS in CS or Math

Tools

AWS Bedrock

SageMaker

IoT TwinMaker

IoT SiteWise

NVIDIA Omniverse

Isaac Sim

AWS VAMS

Job description

Description

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 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.

You’ll 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. You’ll 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 isn’t traditional consulting: you’ll be writing code, designing simulation architectures, and building breakthrough experiences that shape how industrial and technology organizations worldwide 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 stand‑up where you and fellow Prototyping Architects align with your Technical Program Manager on customer momentum, breakthrough patterns, and hard problems at Physical AI’s 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, you’re context‑switching between production code, architectural decisions, and translating innovation into strategic language for leadership. You’re 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. We are builders: Design Technologists, Technical Program Managers, and Prototyping Architects building solutions with world‑class engineers using emerging technologies. We operate at the bleeding edge of technology — 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.

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
• 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 Company’s 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.

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.

Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, CA, San Francisco - 176,600.00 - 239,000.00 USD annually

USA, CA, Santa Monica - 153,600.00 - 207,800.00 USD annually

USA, WA, Seattle - 153,600.00 - 207,800.00 USD annually

Company - Amazon Web Services, Inc. - A97