Forward Deployed Engineer - AI Vision Systems - Quebec, Canada
About The Position
This is a post-sales, customer-facing deployment role at a fast-growing AI startup building computer vision and predictive systems for manufacturers. The company has grown from 35 to 70 people this year on the back of strong sales momentum, and is now scaling its deployment team to bring those signed customers live. As a Forward Deployed Engineer, you own the end-to-end technical deployment of AI vision systems into customer manufacturing environments. You will be the primary technical presence on-site, working closely with sales, account management, and a technical project manager to scope, integrate, and deliver working systems — and you won't leave until the product does what was promised. This is not a role for someone who wants to write code in isolation. You'll be on factory floors, troubleshooting live production environments, training operators, and building trust with customers who are conservative about their technology and their IP.
Requirements
- Production Python development experience with hands-on use of Linux, Docker, and Git in real production environments
- Cloud deployment and operations experience on at least one major platform (AWS, Azure, or GCP)
- Hands-on experience with at least one of: OPC-UA/Modbus/PLC integration, NVIDIA Jetson or equivalent edge AI platforms, or GenICam/industrial vision systems — edge device experience is the strongest preference
- Networking fundamentals for industrial deployments: TCP/IP, VLANs, firewalls
- Experience in a customer-facing engineering role as the primary technical contact for external stakeholders
- Professional working proficiency in both French and English — this means running scoping meetings, customer training sessions, and on-site troubleshooting in French, not just reading docs
Nice To Haves
- Professional experience in industrial automation or manufacturing environments involving OT/IT integration
- OIQ membership (ing.) or P.Eng. — a genuine nice-to-have, not a hard requirement; the right candidate without it will still be considered
Responsibilities
- Own the full deployment lifecycle for manufacturing customers — from scoping and integration through to production hardening and handover
- Embed with customer operations and IT teams as the primary technical contact on-site
- Install and configure edge AI hardware (NVIDIA Jetson or equivalent) within customer facilities
- Integrate AI vision systems with customer OT/IT stacks including OPC-UA, Modbus, and PLC systems
- Build and iterate data pipelines from edge capture through to cloud — model deployment, monitoring, and feedback loops
- Troubleshoot software, networking, and integration issues in live production environments
- Document architectures and configurations, producing formal handover artifacts for long-term support
- Train customer operators and engineers in both French and English on deployed systems
- Work as a secondary deployment engineer for your first 30–60 days alongside an experienced FDE before taking on your own accounts
- Participate in pre-sales scoping calls and feed field learnings back to the product and engineering team
- Support on-site data collection and annotation as needed
Benefits
- Three weeks vacation
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
