Sr. Prototyping Architect, Prototyping and AI Customer Engineering (PACE)

Amazon • Santa Clara, CA

5d

About The Position

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
architecture guidance. We dive deep to understand each customer's unique
challenges, then craft innovative solutions that accelerate their success. This
customer-first approach is how we built the world's most adopted cloud. Join us
and help us grow.
Build the future of AI innovation alongside AWS's most forward-thinking
customers. The AWS Prototyping and AI Customer Engineering (PACE) team
transforms ambitious ideas into working Generative AI and Agentic AI prototypes
in days and weeks - not months - and we need world-class builders who can turn
customer visions into reality. If you're passionate about full-stack
development, love experimenting with cutting-edge AI technologies, and thrive on
shipping prototypes that demonstrate what's possible with large language models,
autonomous agents, and multi-agent systems, this is your opportunity to make
history.

In this role, you'll work hands-on with customers to architect and build
production-ready AI prototypes using the latest Generative AI technologies -
from prompt engineering and RAG architectures to function calling, autonomous
agents, and complex multi-agent orchestration. You'll leverage AI-driven
development tools to write code faster, exploring agentic workflows where AI
systems can reason, plan, use tools, and collaborate to solve complex problems.
You'll be a full-stack developer comfortable with multiple languages and
frameworks, combining modern application patterns with AWS AI services to
rapidly deliver solutions that showcase the transformative potential of
Generative AI and Agentic AI. This isn't traditional consulting - you'll be
writing code, making architectural decisions about agent behaviors and LLM
integrations, and creating breakthrough experiences that influence how
organizations globally approach AI adoption.

Position requires travel - generally 25%

Requirements

• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• Experience building complex software systems that have been successfully delivered to customers, or experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
• Experience working with or having knowledge of cloud computing and existing cloud technologies
• 4+ years of programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby experience
• Working knowledge of AI/ML technologies, with particular interest in or exposure to Generative AI, large language models, or emerging AI technologies

Nice To Haves

• Proven experience architecting production-grade solutions on AWS, with specific experience in generative AI and large language model services
• Hands-on experience building agentic AI systems: multi-agent orchestration, tool use, autonomous reasoning patterns
• Proficiency in leveraging AI-driven development workflows to accelerate prototyping and delivery
• Track record of delivering customer prototypes and POCs that shaped enterprise adoption strategies
• AWS Certifications (Solutions Architect, Developer, or Machine Learning) or equivalent

Responsibilities

• Architect and build working Generative AI and Agentic AI prototypes directly with customers using AWS AI services (Bedrock, SageMaker, Q Developer) and cloud-native architectures, including autonomous agents, multi-agent systems, RAG architectures, and LLM-powered applications that demonstrate production-ready solutions
• Leverage AI-driven development tools (Cursor, Kiro, Q Developer, Cline, Windsurf) to accelerate prototype development, implementing patterns like prompt engineering, function calling, agent orchestration, and tool use
• Serve as a trusted technical advisor to customers on LLM selection, agent design patterns, agentic architectures, and AI adoption strategies, guiding them through complex technical decisions and trade-offs
• Collaborate with Technical Program Managers and Design Technologists to deliver customer engagements on time, while partnering with AWS service teams to provide feedback and influence AI product roadmaps
• Create and share reusable patterns and thought leadership through agent frameworks, code libraries, technical content, whitepapers, blogs, and conference presentations that accelerate Generative AI and Agentic AI adoption across the AWS customer base

Benefits

• 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
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed