Amazon Web Services Canada, Inc.
Technology
Sr.PrototypingArchitect,AWSPrototypingandAICustomerEngineering(PACE)
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Prototyping Architect, AWS Prototyping and AI Customer Engineering (PACE) at Amazon Web Services Canada, Inc.. Skills: Machine Learning, AI Development, Cloud Computing, Distributed Systems. Design and implement scalable AI/ML solutions. Develop and deploy machine learning models”
Industry & Context.
Root cause analysis; Troubleshooting; Analytical thinking
What They're Looking For.
Must Have
Bachelor's degree or equivalent practical experience, 5+ years of experience in software development, Experience with cloud computing services (AWS, Azure, GCP), Experience with large-scale distributed systems, Experience with machine learning or AI development
Nice to Have
Master's degree or PhD in Computer Science or related field, Experience with MLOps practices, Experience with containerization technologies (Docker, Kubernetes), Experience with data processing and analytics tools, Publications in relevant AI/ML conferences or journals
What You'll Do.
Design and implement scalable AI/ML solutions
Develop and deploy machine learning models
Build and maintain data pipelines
Collaborate with cross-functional teams
Optimize model performance and efficiency
Stay up-to-date with AI/ML advancements
Contribute to architectural decisions
Mentor junior engineers
How You'll Work.
Team & Collaboration
Cross-functional teams; Engineering teams; Product managers; Research scientists
Communication Scope
Technical presentations; Documentation
Process & Methodology
Agile methodologies, Scrum, Project planning
Full Job Description
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,
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