Senior Prototyping Architect , Prototyping And Cloud Engineering (PACE)

Overview

Experimentation fuels Amazon's innovation. If you are a highly creative hands-on-keyboard builder who is passionate about solving real-world business problems, understands cloud architectures & platforms, is quick to pick up emerging technologies, and likes to build solutions that prove functional value — this could be the role for you!

AWS Prototyping & Cloud Engineering (PACE) turns ambitious customer ideas into functional prototypes in days, not months, helping customers experiment with emerging technologies through building early iterations of products and solutions, often exploring new technical grounds and building industry-first solutions with technologies like Generative AI, Agentic AI, machine learning, robotics, deep learning, spatial compute, IoT, and serverless architectures.

Responsibilities

• Drive customer outcomes and AWS service adoption by building functional prototypes — spanning autonomous agents, multi-agent orchestration, RAG architectures, and LLM-powered applications using AWS AI/ML services and cloud-native architectures.
• Leverage AI-driven development tools (ex. Kiro, ClaudeCode, Cline) to accelerate development cycles.
• Educate customers on AWS services, understand and anticipate their business needs, and participate in deep architectural design discussions to ensure prototypes are built for successful production scaling.
• Act as a technical liaison between customers, partners, service engineering teams, sales, professional services, and support. Work closely with AWS field teams to solve complex problems with emerging technologies.
• Work with AWS Partners as a strategic extension of PACE — advising on prototyping methodologies and overseeing partner-led delivery quality.
• Act as a Thought Leader; author or contribute to whitepapers, blogs, open-source repositories, and conference presentations. Provide feedback to shape AWS product roadmaps.
• Push the technical bar by experimenting with emerging technologies. Mentor and support others in the AWS Solutions Architect community.

Qualifications

Preferred Qualifications

• Knowledge of AWS services, market segments, customer base and industry verticals
• AWS certification, such as AWS Solutions Architect, or a similar cloud certification
• Hands-on experience building Generative AI or Agentic AI systems: multi-agent orchestration, tool use, autonomous reasoning patterns, RAG architectures
• Experience managing or advising partner-led technical delivery, including quality oversight and architectural governance
• Proficiency in leveraging AI-driven development workflows to accelerate prototyping and delivery
• Experience working with Machine Learning and GenAI tools, including code assistants

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