Amazon Development Centre Canada ULC
Data Science, Data Engineering, alexa and amazon devices
Sr.AIPlatformDataEngineer
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optimal for Senior candidates.
“Sr. AI Platform Data Engineer at Amazon Development Centre Canada ULC. Skills: AI Platform Engineering, Agentic AI, Data Engineering, Prompt Engineering. Build data pipelines. Maintain data pipelines”
Industry & Context.
First-principles approach; AI-assisted development
What They're Looking For.
Must Have
5+ years of data engineering experience, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines, Experience with SQL, Experience with Python, Experience building datasets for ML, Experience building datasets for analytics, Extensive hands-on experience with GenAI enhanced development pipelines, Extensive hands-on experience with AI coding assistants, Extensive hands-on experience with prompt engineering, Demonstrated track record of building AI agents, Demonstrated track record of building agentic workflows, Demonstrated track record of building AI-powered automation tools, Demonstrated ability to build tools for others, Demonstrated ability to build frameworks for others, Demonstrated ability to build platforms for others
Nice to Have
Experience with AWS Bedrock, Experience with AWS SageMaker, Experience with AWS Redshift, Experience with AWS S3, Experience with AWS Glue, Experience with AWS EMR, Experience with AWS Athena, Experience with AWS Kinesis, Experience with AWS FireHose, Experience with AWS Lambda, Experience with AWS Step Functions, Experience with AWS SageMaker Feature Store, Experience with AWS IAM roles and permissions, Experience building multi-agent systems, Experience building LangChain/LangGraph applications, Experience building custom AI agent frameworks, Experience with Retrieval-Augmented Generation (RAG) systems, Experience with LLM fine-tuning, Experience in a modern scripting language, Experience in a programming language, Experience with production-quality code standards, Experience with non-relational databases, Experience with data stores, Experience with BI tools, Experience designing datasets for analytical consumption, Experience building AI-native self-service data platforms, Experience building feature stores, Experience building intelligent data cataloging systems
What You'll Do.
Maintain data pipelines
Build curated datasets for AI/ML
Build AI-native self-service data platforms
Deliver well-modeled data
Deliver easily discoverable data
Optimize data for specific use cases
Leverage AI-powered solutions
Leverage agentic frameworks
Build continuously improving systems
Lead AI-assisted stakeholder engagement
Design curated datasets
Build curated datasets
Build data pipelines using AI-assisted development
Implement AI-powered self-service platforms
Create intelligent governance systems
Facilitate AI-augmented workshops
How You'll Work.
Team & Collaboration
Partnership with software engineers; Partnership with scientists; Partnership with data analysts; Partnership with business stakeholders; Trusted technical partner; Cross-organizational data models; Develop governance frameworks; Direct BI support
Full Job Description
We seek an AI Platform Builder—a Data Engineer focused on developing Platforms and Agentic AI solution—who embraces prompt-driven development with strong technical, analytical, communication, and stakeholder management skills. This role sits at the intersection of data engineering, business intelligence, and platform engineering—requiring partnership with software development engineers, scientists, data analysts, and business stakeholders across various verticals. You will design, evangelize, and implement platform features and curated datasets that power Artificial Intelligence/Machine Learning (AI/ML) initiatives and self-service analytics, helping us provide a great neighbor experience at greater velocity. This role requires a first-principles approach to leveraging AI at every layer of the data stack—from using AI agents to write and optimize code, to building AI-powered platforms that serve AI models, to deploying intelligent agents that make data accessible. You will use AI to build AI infrastructure, automate the automation, and create self-improving systems that continuously enhance data quality, discoverability, and usability. Key job responsibilities You will build and maintain efficient, scalable, and privacy/security-compliant data pipelines, curated datasets for AI/ML consumption, and AI-native self-service data platforms using an AI-first development methodology. As a trusted technical partner to business stakeholders and data science teams, you'll deliver well-modeled, easily discoverable data optimized for specific use cases while leveraging AI-powered solutions and agentic frameworks to build continuously improving systems. A day in the life * Lead AI-assisted stakeholder engagement sessions across verticals like Subscriptions, Security, Sales, and Marketing * Design and build curated datasets leveraging AI code generation and Agentic AI tools * Build and maintain data pipelines using AI-assisted development with AWS services and internal Amazon too
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