AI Solution Architect

Dorval, Montréal

On-site

Full-time

No salary posted1 weeks ago

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Employment type: Full-time · On-site
Posted: September 25, 2026
Province: Quebec (QC)

Hiring confidence: Sparse posting · 0/100

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

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When applicable, Bombardier promotes flexible and hybrid work policies. Why join us? At Bombardier, we design, build and maintain the world’s peak-performing aircraft for the world’s most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together. Working at Bombardier means operating at the highest level. Every day, you are part of a team that delivers sup…

This role is based in Quebec. Bombardier 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 Quebec

Average salary for AI Solution Architect in Quebec

Median $70,720 per year, with most postings between $50,000 and $99,409 (Architects, 2026-08, 5 postings). This posting does not state a salary.

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

Advanced knowledge of AI/ML technologies and frameworks
Proven experience designing and implementing AI solutions
Strong understanding of enterprise architecture principles
Experience with cloud platforms and infrastructure
Ability to work in hybrid/flexible work environment

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What you'll do

Design and architect AI solutions for complex business problems
Lead technical teams in implementing AI initiatives
Evaluate and recommend appropriate AI technologies and tools
Collaborate with stakeholders to understand requirements and deliver solutions
Ensure solutions align with enterprise standards and best practices
Provide technical guidance and mentorship to team members

What you'll need

Advanced knowledge of AI/ML technologies and frameworks
Proven experience designing and implementing AI solutions
Strong understanding of enterprise architecture principles
Experience with cloud platforms and infrastructure
Ability to work in hybrid/flexible work environment
Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience)