Sr. Prototyping Architect, AWS Prototyping and AI Customer Engineering (PACE)
About The Position
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.
Requirements
- Knowledge of cloud architecture
- 7+ years of design, implementation, or consulting in applications and infrastructures experience
Nice To Haves
- Knowledge of software development tools and methodologies
- 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)
- Registered Retirement Savings Plan (RRSP)
- Deferred Profit Sharing Plan (DPSP)
- paid time off
- other resources to improve health and well-being
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
