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

About the role

The AWS Prototyping and AI Customer Engineering (PACE) team transforms ambitious ideas into working prototypes - faster than customers thought possible. We need world-class builders who combine deep software craftsmanship with curiosity about physical systems.

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

• 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