- Employment type
- Full-time · On-site
- Posted
- November 8, 2026
- NOC code
- 21231 — Software engineers and designers
- Province
- Ontario (ON)
Hiring confidence: Sparse posting · 22/100
This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored
Job Overview
This role is based in Ontario. The Canadian NOC code for this position is 21231 — Software engineers and designers. Altis 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 Enterprise AI Engineer in Ontario
We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.
NOC code
21231 — Software engineers and designers. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.
Typical qualifications for Canadian employers
- Strong written and verbal communication skills in English
- Experience with AI technologies and implementation
- Enterprise software development background
- AI governance and adoption knowledge
- Ability to work hybrid (4 days on-site, 1 day remote in Toronto, ON)
Fit check
Is this role right for you?
Top skills this posting asks for:
- AI/Machine Learning
- Enterprise Architecture
- AI Governance
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What you'll do
- Lead AI adoption across the organization
- Develop AI solutions and implementations
- Establish and manage AI governance frameworks
- Turn emerging AI technologies into business solutions
- Shape AI strategy for sustainable business outcomes
- Collaborate on high-impact AI initiatives in renewable energy sector
What you'll need
- Strong written and verbal communication skills in English
- Experience with AI technologies and implementation
- Enterprise software development background
- AI governance and adoption knowledge
- Ability to work hybrid (4 days on-site, 1 day remote in Toronto, ON)