AI Engineering Director

Toronto, Ontario

On-site

Full-time

$180K – $240K CAD

1 weeks ago

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Employment type: Full-time · On-site
Posted: September 28, 2026
Salary range: $180,000–$240,000 CAD per year
Province: Ontario (ON)

Hiring confidence: Some gaps · 40/100

Some signals are missing from this posting. It may well be genuine, but it is worth confirming the role is still open before you invest time in applying. How this is scored

Job Overview

Jobs

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CONFIDENTIAL Scovai, a trailblazer in the Talent Acquisition & Recruiting sector, is redefining how organizations build and manage their workforce through an intelligent, AI-powered talent platform that spans the entire employee lifecycle. As part of a confidential search, Scovai is seeking an exceptional AI Engineering Director to join their Toronto-based team in a hybrid capacity. This is a rare opportunity to shape the technical vision of a company at the forefront of transparent, auditable …

This role is based in Ontario. CONFIDENTIAL Scovai 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 AI Engineering Director in Ontario

We do not have a salary benchmark for this title in Ontario yet. The posting advertises $180,000–$240,000.

NOC code

This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.

Typical qualifications for Canadian employers

Leadership experience in AI/ML engineering
Experience with talent acquisition or recruiting technology
Track record of building and managing technical teams
Ability to shape technical vision and strategy
Based in or willing to work in Toronto (hybrid role)

Fit check

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What you'll do

Lead AI engineering team
Shape technical vision for AI-powered talent platform
Develop and implement AI solutions across employee lifecycle
Drive innovation in transparent and auditable AI systems
Manage engineering strategy and roadmap

What you'll need

Leadership experience in AI/ML engineering
Experience with talent acquisition or recruiting technology
Track record of building and managing technical teams
Ability to shape technical vision and strategy
Based in or willing to work in Toronto (hybrid role)