AI Platform Data Engineer II, Ring Decision Science at Amazon Development Centre Canada ULC

Position AI Platform Data Engineer II, Ring Decision Science
Posted 18 Feb 2026
Expired 20 Mar 2026
Company Amazon Development Centre Canada ULC
Location Toronto | CA
Job Type Full Time

Job Description:

Latest job information from Amazon Development Centre Canada ULC for the position of AI Platform Data Engineer II, Ring Decision Science. If the AI Platform Data Engineer II, Ring Decision Science vacancy in Toronto matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at Amazon Development Centre Canada ULC for the position of AI Platform Data Engineer II, Ring Decision Science below matches your qualifications.

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
This Role will:

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 tools
Implement AI-powered self-service platforms with natural language interfaces
Create intelligent governance systems for data classification, PII detection, and lineage tracking
Facilitate AI-augmented workshops for stakeholders to explore data capabilities collaboratively

About the team
The Analytics & Science team for Decision Sciences is at the forefront of Ring's transformation into an AI-powered organization. We address cross-organizational data models, develop governance frameworks, provide direct Business Intelligence (BI) support across multiple teams, and build customer-facing and internal AI tools that fundamentally improve how effectively and quickly the organization makes decisions.
BASIC QUALIFICATIONS - 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
- Knowledge of distributed systems as it pertains to data storage and computing
- Extensive hands-on experience with Gen AI enhanced development pipelines, AI coding assistants (GitHub Copilot, Amazon Q, Cursor, etc.), and prompt engineering
- Demonstrated track record of building AI agents, agentic workflows, or AI-powered automation tools
PREFERRED QUALIFICATIONS - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.



CAN, ON, Toronto - 103 600.00 CAD annually

Job Info:

  • Company: Amazon Development Centre Canada ULC
  • Position: AI Platform Data Engineer II, Ring Decision Science
  • Work Location: Toronto
  • Country: CA

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information AI Platform Data Engineer II, Ring Decision Science at the office Toronto above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.

THIS JOB POSTING HAS EXPIRED (Over 30 days ago).
Please search for the latest job opportunities on our Homepage.

Similar Job Vacancies