Senior Forward Deployed AI Engineer

Vancouver, Greater Vancouver

On-site

Full-time

No salary posted1 weeks ago

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Employment type: Full-time · On-site
Posted: September 25, 2026
Province: British Columbia (BC)

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

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Job Description Job Description About Us At Prenuvo, we are on a mission to flip the paradigm from reactive "sick-care" to proactive health care. Our award-winning whole body scan is fast (under 1 hour), safe (MRI has no ionizing radiation), and non-invasive (no contrast). Our unique integrated stack of optimized hardware, software, and increasingly AI, coupled with the patient-centric experience across our domestic and global clinics, have allowed us to lead the change against "we caught it to…

This role is based in British Columbia. Prenuvo 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 British Columbia

Average salary for Senior Forward Deployed AI Engineer in British Columbia

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Typical qualifications for Canadian employers

Senior-level experience in AI/ML engineering
Proven experience deploying AI models in production environments
Strong software engineering fundamentals
Experience with medical imaging or healthcare technology (preferred)
Understanding of MRI or medical diagnostic systems (preferred)

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What you'll do

Design and deploy AI models for medical imaging analysis
Optimize AI/ML models for real-world clinical deployment
Develop and maintain integrated hardware-software-AI stack
Work on forward-deployed solutions across domestic and global clinics
Bridge gap between research and production AI systems
Collaborate with clinical and product teams to implement patient-centric AI solutions
Ensure AI systems are safe, fast, and non-invasive in healthcare context

What you'll need

Senior-level experience in AI/ML engineering
Proven experience deploying AI models in production environments
Strong software engineering fundamentals
Experience with medical imaging or healthcare technology (preferred)
Understanding of MRI or medical diagnostic systems (preferred)
Cloud infrastructure knowledge
Ability to work in fast-paced startup environment