Sr. Prototyping Architect, Aws Prototyping and AI Customer Engineering (pace)

Amazon Amazon · Big Tech · Seattle, WA · Solutions Architect

This role focuses on architecting and building Generative AI and Agentic AI prototypes for AWS customers, leveraging AWS AI services and modern application patterns. The Prototyping Architect will work hands-on with customers to create solutions using prompt engineering, RAG, function calling, autonomous agents, and multi-agent orchestration, accelerating customer adoption of AI.

What you'd actually do

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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

Skills

Required

  • Full-stack development
  • Generative AI technologies
  • Large language models
  • Autonomous agents
  • Multi-agent systems
  • Prompt engineering
  • RAG architectures
  • Function calling
  • Agent orchestration
  • Tool use
  • AWS AI services (Bedrock, SageMaker, Q Developer)
  • Cloud-native architectures

Nice to have

  • AI-driven development tools (Cursor, Kiro, Q Developer, Cline, Windsurf)
  • Technical advisor experience
  • Customer engagement delivery
  • Thought leadership content creation

What the JD emphasized

  • architect and build working Generative AI and Agentic AI prototypes
  • autonomous agents
  • multi-agent systems
  • agentic architectures
  • agent orchestration
  • tool use

Other signals

  • Generative AI
  • Agentic AI
  • LLMs
  • multi-agent systems
  • prototypes