SmartPixel Logo

SmartPixel

Forward Deployed Engineer

Reposted 7 Days Ago
Be an Early Applicant
In-Office
Toronto, ON, CAN
Senior level
In-Office
Toronto, ON, CAN
Senior level
The Forward Deployed Engineer is responsible for deploying AI solutions in manufacturing, managing client relationships, and integrating systems within customer environments.
The summary above was generated by AI
Company Description

An independent AI systems company based in Montreal, Canada, specializing in computer vision and predictive modeling solutions for the manufacturing sector. The company delivers integrated platforms that connect edge devices and factory systems with cloud software to optimize production quality and throughput. The team is in a strong growth phase, building transformative tools with real-world industrial impact.

Job Description

An AI systems company focused on manufacturing is seeking a Forward Deployed Engineer to own the end-to-end deployment of advanced AI solutions directly within customer environments. This is a remote, full-time position open to candidates based in Montreal or Quebec City, Canada.

The Forward Deployed Engineer serves as the primary technical contact and trusted advisor for strategic manufacturing accounts. This role sits at the intersection of production software engineering, industrial automation, and applied AI, requiring both deep technical capability and strong client-facing communication skills in French and English.

Key Responsibilities:
- Own the full lifecycle of AI deployment for manufacturing clients, from initial scoping and integration through to production hardening and formal handover.
- Embed with customer operations and IT teams as the main technical advisor and point of contact.
- Integrate AI vision systems with OT, IT, and cloud stacks, including OPC-UA, Modbus, PLCs, NVIDIA Jetson edge inference, ERP systems, 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 system 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 efforts as needed.

Qualifications

Required Qualifications:
- 6 or more years of experience combining production software engineering with industrial automation and/or applied AI.
- Proven track record of shipping and supporting production software systems deployed into customer infrastructure.
- Production Python development experience with hands-on use of Linux, Docker, and Git in production environments.
- Cloud deployment and operations experience with at least one major platform: AWS, Azure, or GCP.
- Hands-on experience with at least one of the following: OPC-UA/Modbus/PLC integration, NVIDIA Jetson or equivalent edge platforms, or GenICam and industrial vision systems.
- Networking fundamentals for industrial deployments, including TCP/IP, VLANs, and firewalls.
- Experience in a customer-facing engineering role as the primary technical contact for external stakeholders.
- Professional working proficiency in both French and English.
- Current member in good standing of the Ordre des ingenieurs du Quebec (ing.) or eligible to become one.

Preferred Qualifications:
- Professional experience working in industrial automation or manufacturing environments involving OT/IT integration.

Note: English proficiency is required as the role involves frequent interaction with clients, suppliers, and colleagues outside Quebec whose working language is English. The employer has taken reasonable measures as outlined under article 46.1 of the Charter before imposing this requirement.

Additional Information

Perks and Benefits:
- Be part of a fast-growing team building transformative AI solutions for the manufacturing industry.
- Work on cutting-edge AI and MLOps tools that have measurable real-world impact.
- Collaborative and supportive work environment.
- Opportunities for professional growth and career advancement.

Work Type: Remote, full-time.

Location Eligibility: Open to candidates based in Montreal or Quebec City, Canada. Candidates must be eligible to work in Canada. OIQ membership (ing.) or eligibility for membership is required.

Recruitment for this role is supported by E+E Consulting/Consultation, a Montreal-based HR and talent acquisition firm specializing in Technology, Software, AI, Video Games, VFX, and Fintech.
More information can be found here: https://eeconsulting-consultation.com/
LinkedIn: https://www.linkedin.com/company/e-plus-e-consulting-consultation/

 

Similar Jobs

3 Days Ago
In-Office or Remote
Canada
Senior level
Senior level
Artificial Intelligence • Cloud • Information Technology • Software
Embed with customer teams running large-scale GPU training and inference to onboard, tune, debug, and improve reliability. Diagnose fabric, driver, scheduler, and application failures; profile performance; build automation, monitoring, and preflight checks; lead incident response; and convert field learnings into product improvements and reusable reference configurations.
Top Skills: AnsibleBashCgroupsContainer RuntimesCudaDcgmDevice PluginsFabric ManagerGoGpfsHelmInfinibandKubernetesKv CacheLustreNamespacesNcclNvidia DriversNvidia-SmiNvlinkPythonRoceSlurmSshTerraformTopology-Aware SchedulingVastWeka
6 Days Ago
Hybrid
Toronto, ON, CAN
Senior level
Senior level
Edtech • HR Tech • Software
Partner with strategic customers to design, build, and deploy agentic AI solutions. Translate customer workflows into reusable platform capabilities, own architecture and production lifecycle, and help found the Forward Deployed Engineering team while driving platform evolution and scalable features.
Top Skills: AWSDatadogGitlabKubernetesLlm ProvidersMulti-Llm Orchestration ToolsNext.JsOpentofuReactTypescript
11 Days Ago
In-Office or Remote
Metropolitan Area Apt, ON, CAN
Senior level
Senior level
Artificial Intelligence • Information Technology • Consulting
Embed with client operators, learn and rebuild critical business processes, and deliver production GenAI/LLM systems on AWS. Own design, shipping, evaluation, and operational handoff while working cross-functionally with senior stakeholders to move business metrics.
Top Skills: AWSCi/CdContainersEcsGenerative AiInfrastructure As CodeKubernetesLlmsPythonTypescript

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account