Forward Deployed AI Engineer

Toronto, Ontario

On-site

Full-time

No salary posted1 weeks ago

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Employment type: Full-time · On-site
Posted: September 24, 2026
Province: Ontario (ON)

Hiring confidence: Sparse posting · 11/100

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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Full-time | Hybrid | Toronto | $180K–$260K About the Role We’re looking for a AI Deployment Engineer with 3–6 years of experience to work closely with portfolio businesses, understand their operational challenges, and build production-grade AI and agentic solutions that create measurable impact. This is a highly hands-on engineering role. You’ll work directly with business operators and technical teams, taking projects from identifying the right opportunity through development, deployment, opti…

This role is based in Ontario. Qureos Inc 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 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

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Typical qualifications for Canadian employers

3-6 years of professional experience
AI/ML engineering expertise
Production-grade deployment experience
Ability to work in hybrid environment (Toronto)
Strong communication and collaboration skills

Fit check

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What you'll do

Work closely with portfolio businesses to understand operational challenges
Build production-grade AI and agentic solutions
Identify opportunities for AI implementation
Develop and deploy AI solutions
Optimize deployed systems for measurable business impact
Collaborate with business operators and technical teams
Take projects from conception through development and deployment

What you'll need

3-6 years of professional experience
AI/ML engineering expertise
Production-grade deployment experience
Ability to work in hybrid environment (Toronto)
Strong communication and collaboration skills