Forward Deployed AI Engineer - Associate Manager

Calgary, Calgary 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: 21311 — Computer engineers (except software engineers and designers)
Province: Alberta (AB)

Hiring confidence: Sparse posting · 7/100

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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This is not a consulting role. It is not a project delivery role. It is not a research position. A Forward Deployed AI Engineer-Associate Manager 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. The market is beginning to understand what leading tec…

This role is based in Alberta. The Canadian NOC code for this position is 21311 — Computer engineers (except 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 Alberta

Average salary for Forward Deployed AI Engineer - Associate Manager in Alberta

We do not have a salary benchmark for this title in Alberta yet. The posting does not state a salary either.

NOC code

21311 — Computer engineers (except 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

Production engineering experience
AI/ML platform knowledge
Ability to work embedded within client organizations
Strong technical foundation
Leadership capability

Fit check

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What you'll do

Embed within client enterprise teams
Implement and optimize complex AI platforms
Own time-to-value outcomes
Drive AI adoption within organizations
Ensure platform reliability and scalability
Collaborate shoulder-to-shoulder with client teams
Navigate messy organizational environments
Deliver measurable business outcomes

What you'll need

Production engineering experience
AI/ML platform knowledge
Ability to work embedded within client organizations
Strong technical foundation
Leadership capability
Experience with enterprise environments