Manager, AI Platform Engineering , Agent Platform Organization

Amazon

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profile Job Location:

Toronto - Canada

profile Monthly Salary: Not Disclosed
Posted on: 20 hours ago
Vacancies: 1 Vacancy

Department:

Data Engineering

Job Summary

We are looking for a Manager of AI Platform Engineering to lead a team of AI platform engineers building and operating the data pipelines models and platform infrastructure that power core analytics science and AI intatives. You will own the delivery and operational health of multiple business domains build and mentor a high-performing team and help evolve our self-service offerings from reactive dashboards to proactive agent driven approaches.

Your team will use AI development IDEs and generative AI tooling daily and will build multi-agent solutions that automate common data engineering and BI tasks (e.g. pipeline generation data quality enforcement testing and operational response). You will guide this evolution helping your engineers develop fluency with agentic tooling while maintaining the data engineering fundamentals that everything depends on. You will also help your engineers develop and deploy agents that solve common Analytics use cases around monitoring anomaly detection and insight generation.

You will also partner with business intelligence applied science and product teams to translate data needs into technical roadmaps and contribute to shared platform infrastructure when the work calls for it.


- 3 years of engineering team management experience
- Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle including coding standards code reviews source control management build processes testing certification and livesite operations
- Experience working with technical and product stakeholders to define requirements prioritize features and influence product roadmaps
- - 7 years of working directly within data engineering or closely related teams with hands-on contribution to data platform and pipeline delivery
- - 3 years of designing or architecting data systems including data modeling pipeline patterns reliability and scaling strategies
- - 5 years of experience building or leading development of data pipelines and cloud-native data infrastructure (e.g. data warehouses data lakes event-driven architectures orchestration platforms)

- - Experience leading teams that use generative AI tools and AI development IDEs to accelerate engineering work
- - Familiarity with multi-agent solutions that automate workflows (e.g. pipeline generation data quality testing operational response)
- - Familiarity with at least one agentic AI development IDE (e.g. Kiro Cursor Claude Code Codex)
- - Experience building or overseeing shared data models semantic layers or data contracts
- - Familiarity with data governance cataloging or lineage tracking practices
- - Experience contributing to or overseeing shared platform infrastructure developer tooling or self-service data services
- - Familiarity with observability tooling for data pipelines and data platform operations

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 youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. As a total compensation company Amazons 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 - 154200.00 - 257600.00 CAD annually


Required Experience:

Manager

We are looking for a Manager of AI Platform Engineering to lead a team of AI platform engineers building and operating the data pipelines models and platform infrastructure that power core analytics science and AI intatives. You will own the delivery and operational health of multiple business domai...
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