Forward Deployed AI Engineer - Senior Manager

Ottawa, Ottawa region

On-site

Full-time

No salary posted6 days ago

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Employment type: Full-time · On-site
Posted: November 7, 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

Jobs

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Role Description This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer is a production engineer who works embedded inside a client's enterprise, shoulder to shoulder with their teams, to make complex AI platforms work in real, messy organizational environments. You own outcomes: time-to-value, adoption, reliability, and scalability. Not delivery milestones. Outcomes. Role Description This is not a consulting role. It is n…

This role is based in Ontario. The Canadian NOC code for this position is 21231 — Software engineers and designers. Accenture 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 Forward Deployed AI Engineer - Senior Manager 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

Senior-level experience in AI/ML engineering
Production engineering background
Experience working in enterprise environments
Track record of owning outcomes and delivery
Ability to work embedded within client organizations

Fit check

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What you'll do

Own time-to-value outcomes for AI platform implementations
Drive adoption of AI platforms within client enterprises
Ensure reliability and scalability of complex AI systems
Work embedded inside client organizations alongside their teams
Make complex AI platforms functional in real-world organizational contexts
Manage outcomes rather than delivery milestones
Lead production engineering initiatives
Collaborate shoulder-to-shoulder with client technical teams

What you'll need

Senior-level experience in AI/ML engineering
Production engineering background
Experience working in enterprise environments
Track record of owning outcomes and delivery
Ability to work embedded within client organizations
Experience with complex, messy organizational environments
Leadership capability to manage teams and initiatives