Posted 9h ago

Forward Deployed Engineer (FDE)

@ Maneva
Montreal, /, Canada
RemoteFull Time
Responsibilities:deploy AI, integrate systems, train users
Requirements Summary:6+ years in production software engineering with industrial automation or applied AI; production Python on Linux/Docker/Git; cloud deployment (AWS/Azure/GCP); industrial integration experience; bilingual French and English.
Technical Tools Mentioned:Python, Linux, Docker, Git, AWS, Azure, GCP, OPC-UA, Modbus, PLC, NVIDIA Jetson, GenICam
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Job Description

Maneva is a leader in AI-powered computer vision and predictive systems for manufacturers, delivering integrated solutions that connect edge devices and factory systems with cloud software to optimize production quality and throughput. As a Forward Deployed Engineer, you will play a pivotal role in deploying advanced AI systems directly into customer environments, acting as the primary technical contact and trusted advisor for strategic manufacturing accounts.


Key responsibilities include:

  • Own the end-to-end lifecycle of AI deployment for manufacturing clients, from scoping and integration to production hardening and handover.
  • Embed with customer operations and IT teams, serving as the main technical advisor and point of contact.
  • Integrate AI vision systems with OT/IT/cloud stacks, including OPC-UA/Modbus/PLCs, NVIDIA Jetson edge inference, ERP, and customer cloud platforms.
  • Build and iterate data pipelines and customer-side data flywheels, covering edge-to-cloud capture, 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 to ensure successful adoption and operation of deployed systems.
  • Participate in pre-sales scoping calls and contribute field learnings to the product and engineering roadmap, helping shape reusable deployment patterns and internal tooling.
  • Support on-site data collection and annotation as needed.