Forward Deployed Engineer — AI Vision Systems Remote | Montreal, QC (preferred) | Full timeAbout the roleThis 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.What you'll doOwn the full deployment lifecycle for manufacturing customers — from scoping and integration through to production hardening and handoverEmbed with customer operations and IT teams as the primary technical contact on-siteInstall and configure edge AI hardware (NVIDIA Jetson or equivalent) within customer facilitiesIntegrate AI vision systems with customer OT/IT stacks including OPC‑UA, Modbus, and PLC systemsBuild and iterate data pipelines from edge capture through to cloud — model deployment, monitoring, and feedback loopsTroubleshoot software, networking, and integration issues in live production environmentsDocument architectures and configurations,



producing formal handover artifacts for long-term supportTrain customer operators and engineers in both French and English on deployed systemsWork as a secondary deployment engineer for your first 30–60 days alongside an experienced FDE before taking on your own accountsParticipate in pre‑sales scoping calls and feed field learnings back to the product and engineering teamSupport on‑site data collection and annotation as neededWhat the work actually looks likeCustomers span food manufacturing, building materials, and other industrial sectors. Use cases include defect detection on packaging lines, monitoring for discoloured or malformed products, ergonomic compliance monitoring on factory floors, and employee safety verification. Once deployed, systems feed insights into a customer‑facing app that allows plant managers to query production data by shift, line, and time period.When you're not on‑site, you're working remotely. On‑site time is estimated at 25–50% depending on active deployments. You'll typically manage one to three accounts at a time depending on complexity.What you bringRequiredProduction Python development experience with hands‑on use of Linux, Docker, and Git in real production environmentsCloud 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 preferenceNetworking fundamentals for industrial deployments: TCP/IP, VLANs,



firewallsExperience in a customer‑facing engineering role as the primary technical contact for external stakeholdersProfessional working proficiency in both French and English — this means running scoping meetings, customer training sessions, and on‑site troubleshooting in French, not just reading docsNice to haveProfessional experience in industrial automation or manufacturing environments involving OT/IT integrationOIQ membership (ing.) or P.Eng. — a genuine nice‑to‑have, not a hard requirement; the right candidate without it will still be consideredExperience levelNo hard floor. The role targets candidates with enough breadth and depth to operate independently on a customer site. That might be four years, it might be more. What matters is that you've shipped and supported real systems in production environments and can handle being the only technical person in the room.Compensation and benefitsBase salary: Competitive and commensurate with experience - $120-180k CAD+ (could be more for the right candidate with depth of experience) depending on experience and location within QuebecNo bonus currently in place; structure under reviewEquity: under development; six‑month review process for all recent hiresBenefits kick in at three monthsThree weeks vacationFully remote when not on‑site; travel within Quebec expected 25–50% of the timeInterview processThree stages15‑minute check‑in with the Talent leadTechnical interview with the Technical Project Manager (conducted in French)30‑minute conversation with the CTOLocationMontreal, QC strongly preferred. Candidates based elsewhere in Quebec or in Ontario (e.G. Ottawa or Toronto) who are willing to travel to Montreal regularly will also be considered. Must be legally authorized to work in Canada.#J-18808-Ljbffr

📌 Forward Deployed Engineer - Ai Vision Systems (Quebec City) - C$120,000 - C$180,000 A Year (Winnipeg)
🏢 AI Vision Systems
📍 Winnipeg