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

Amazon.com Inc

Seattle, WA

JOB DETAILS
SKILLS
Amazon Web Services (AWS), Architectural Services, Artificial Intelligence (AI), Blog, Blueprints, Cloud Architecture, Cloud Computing, Computer Programming, Consulting, Design Patterns Programming Methodologies, Emerging Technology, International Sales, Leadership, Leading Edge Technology, Mentoring, Modeling Languages, Problem Solving Skills, Product Planning, Programming Tools, Project/Program Management, Prototyping, Prototyping Programming Languages, Retail, Software Engineering, Startup, System Architecture, Team Player, Technical Delivery, Technical Leadership, Technical Support, Technical Writing, Technical/Engineering Design, Technology White Papers, Thought Leadership, Time Management, Willing to Travel
LOCATION
Seattle, WA
POSTED
11 days ago

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 unwavering support. 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%

Key job 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

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 agentic AI"s edge. Then into deep coding work building transformative agentic solutions, orchestrating multi-agent patterns integrated with AWS AI services. You make architectural decisions that drive measurable business outcomes: faster resolution, smarter recommendations, autonomous scaling. Mid-morning brings a strategic conversation with customer leadership on how agentic architectures power their business. Afternoon: architecting a retail shopping assistant with specialized agents, collaborating with Design Technologists. 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 transformative AI.

About the team

The PACE team accelerates innovation for AWS customers, setting the direction for enterprise adoption. 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. We own decisions, partner with forward-thinking customers across industries, and move at unprecedented speed, delivering functional prototypes in weeks and scaling learnings across enterprises. Our work shapes how industries adopt transformative technology. We engage with customer executives, collaborate on novel problems, and drive Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve.impact globally.

About the Company

A

Amazon.com Inc

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
COMPANY SIZE
10,000 employees or more
INDUSTRY
Retail
FOUNDED
1994
WEBSITE
http://Amazon.com/militaryroles