- Employment type
- Full-time · On-site
- Posted
- September 26, 2026
- Salary range
- $115,000–$165,000 CAD per year
- Province
- Ontario (ON)
Hiring confidence: Some gaps · 56/100
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
This role is based in Ontario. CGI 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 Lead AI Engineering Specialist in Ontario
We do not have a salary benchmark for this title in Ontario yet. The posting advertises $115,000–$165,000.
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
- Hybrid work arrangement with minimum 2 days per week at downtown Toronto and/or client office
- Extensive experience in AI/ML engineering
- Leadership experience managing technical teams
- Expertise in financial services domain (Banking, Insurance, or Wealth Management)
- Strong software architecture and design skills
Fit check
Is this role right for you?
Top skills this posting asks for:
- AI Engineering
- Machine Learning
- Python
Jobily reads your resume against this posting and scores the fit — the skills you already have, the gaps, and what to change before applying. Signed-in Premium members see the score at the top of this page.
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What you'll do
- Build and lead new AI engineering capability within Toronto Financial Services business unit
- Serve organizations across Banking, Insurance, and Wealth Management sectors
- Provide technical leadership and strategy for AI initiatives
- Guide development of AI/ML solutions and best practices
- Manage and mentor AI engineering team members
What you'll need
- Hybrid work arrangement with minimum 2 days per week at downtown Toronto and/or client office
- Extensive experience in AI/ML engineering
- Leadership experience managing technical teams
- Expertise in financial services domain (Banking, Insurance, or Wealth Management)
- Strong software architecture and design skills