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Manager, AI Platform Engineering , Agent Platform Organization
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Toronto, ON
- Full-time
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…
Added 49 mins ago
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Associate Creative Director, Copy - Pharma
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…ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration.…
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- Full-time
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Amazon

Manager, AI Platform Engineering , Agent Platform Organization

Toronto, ON, Canada

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 17, 2026
Experience: 3+ years of engineering team management experience
Posting language: English
Posted: Nov 13, 2026

Original job description

Description

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.

Basic Qualifications

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)

Preferred Qualifications

- 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 https://amazon.jobs/content/en/how-we-hire/accommodations 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 - 154,200.00 - 257,600.00 CAD annually

Company - Amazon Development Centre Canada ULC

Job ID: A10402240

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More about this job

Responsibilities

Lead and develop a team responsible for delivering and operating data pipelines, models, and platform infrastructure across multiple business domains. Guide adoption of generative AI and multi-agent solutions for analytics and data engineering workflows, while partnering with business intelligence, applied science, and product teams on technical roadmaps.

Requirements

Requires at least 3 years of engineering team management, 7 years working in data engineering or related teams, 3 years designing or architecting data systems, and 5 years building or leading data pipelines and cloud-native data infrastructure. Candidates should also have experience with software development lifecycle practices and collaborating with technical and product stakeholders to define requirements and prioritize roadmaps.

Skills

Engineering Team Management
Data Engineering
Data Platform Architecture
Data Pipeline Development
Cloud-Native Infrastructure
Generative AI
Multi-Agent Systems
Data Modeling
Data Reliability and Scaling
Data Warehouses and Data Lakes
Event-Driven Architectures
Workflow Orchestration
Data Governance
Data Observability
Product Roadmapping
Developer Tooling

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Prescription Insurance
Basic Life and AD&D Insurance
Deferred Profit Sharing Plan
Paid Time Off

Visa sponsorship

Not detected in the job text

Keywords

AI Platform Engineering
Data Engineering
Data Pipelines
Data Models
Platform Infrastructure
Generative AI
AI Development IDEs
Multi-Agent Solutions
Pipeline Generation
Data Quality
Automated Testing
Operational Response
Analytics
Anomaly Detection
Insight Generation
Data Warehouses
Data Lakes
Event-Driven Architectures
Orchestration Platforms
Shared Data Models
Semantic Layers
Data Contracts
Data Governance
Data Cataloging
Data Lineage
Developer Tooling
Self-Service Data Services
Data Observability
Kiro
Cursor

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Work requirements

Jobs in Canada