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

About the role

The AWS Prototyping and AI Customer Engineering (PACE) team accelerates innovation for AWS customers, setting the direction for enterprise adoption. We are 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.

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

Qualifications

• Knowledge of cloud architecture
• 7+ years of design, implementation, or consulting in applications and infrastructures experience