Manager, Data and AI - AI Systems Integrations and Agentic technical owner

Toronto, Ontario

On-site

Full-time

No salary posted5 days ago

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Employment type: Full-time · On-site
Posted: November 8, 2026
Province: Ontario (ON)

Hiring confidence: Sparse posting · 22/100

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Job Overview

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Being part of Air Canada is to become part of an iconic Canadian symbol, recently ranked the best Airline in North America. Let your career take flight by joining our diverse and vibrant team at the leading edge of passenger aviation. The Manager, Data & AI leads the technical integration, deployment and production-readiness capabilities required to operationalize AI products, models, agents and supporting data pipelines across Air Canada’s enterprise environments. The role ensures that AI solu…

This role is based in Ontario. Air Canada is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Ontario

Average salary for Manager, Data and AI - AI Systems Integrations and Agentic technical owner in Ontario

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Typical qualifications for Canadian employers

Experience leading AI/ML systems integration projects
Strong technical background in data pipelines and AI model deployment
Knowledge of agentic AI systems architecture
Experience operationalizing AI products in enterprise environments
Understanding of production-readiness and DevOps/MLOps practices

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What you'll do

Lead technical integration and deployment of AI products and models
Ensure production-readiness of AI solutions and agentic systems
Operationalize AI agents and supporting data pipelines across enterprise
Manage technical teams responsible for AI systems
Oversee deployment capabilities and infrastructure
Drive enterprise-wide AI adoption
Ensure scalability and reliability of AI systems in production

What you'll need

Experience leading AI/ML systems integration projects
Strong technical background in data pipelines and AI model deployment
Knowledge of agentic AI systems architecture
Experience operationalizing AI products in enterprise environments
Understanding of production-readiness and DevOps/MLOps practices
Proven team leadership and management experience
Experience in aviation, travel, or large-scale enterprise preferred