Enterprise Architect, AI Engineering - Security & Compliance

Toronto, Ontario

On-site

Full-time

No salary posted1 weeks ago

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Employment type: Full-time · On-site
Posted: September 28, 2026
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

Jobs

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Overview At KPMG in Canada, our people bring their unique perspectives to Canada's most important challenges. Here, you can build momentum that reaches beyond our business, develop skills for the future, and take ownership of your career with support at every stage. Join a firm where your career can make a difference. AI Engineering transforms emerging AI capabilities and business needs into secure, scalable, production-ready applications and platforms for KPMG Canada. The team works across app…

This role is based in Ontario. KPMG 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 Architect, AI Engineering - Security & Compliance in Ontario

Median $120,000 per year, with most postings between $116,325 and $135,000 (Architects, 2026-08, 23 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

Enterprise architecture experience
AI/ML systems knowledge
Security and compliance expertise
Production-ready application development experience
Scalable platform design experience

Fit check

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What you'll do

Transform emerging AI capabilities into secure, scalable, production-ready applications
Design enterprise AI platforms
Ensure security and compliance in AI engineering solutions
Work across teams to translate business needs into technical architecture
Develop secure, scalable AI applications
Support career development and knowledge sharing

What you'll need

Enterprise architecture experience
AI/ML systems knowledge
Security and compliance expertise
Production-ready application development experience
Scalable platform design experience
Understanding of regulatory requirements