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Engineering Manager, AI

Job in Coquitlam, BC, Canada
Listing for: Safe Fleet
Full Time position
Listed on 2026-02-23
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 155000 - 175000 CAD Yearly CAD 155000.00 175000.00 YEAR
Job Description & How to Apply Below
Position: Engineering Manager, AI Applications
ABOUT THE POSITION
Meet the Smart Safety Company

AtSafe Fleetour name says it all. We make fleet vehicles – and everyone in and around them – safer. Our fleet safety platform brings together best-in-class products, ground-breaking technology, and a 100-year history of fleet know-how and innovation to solve the world’s biggest fleet safety problems.

Our core value is safety. Without safety first, efficiency and productivity are not possible. This is true for our products, our culture, and our relationship with our community. Our vision is to reduce preventable deaths and injuries in and around fleet vehicles with a goal of ZERO accidents.

We are re-defining what safety means for fleets of every type – from school buses to waste collection trucks, firefighting to utility vehicles, police cruisers to delivery vans.

Whether you work in our Charlotte plant to build life-saving stop arms for school buses, or design advanced camera vision products in our Vancouver office, forge valves and high-quality nozzles to fight fires, or dream up new ways to protect fleet operators in our Corporate HQ in Kansas City, you’ll contribute to our goal to keep everyone safe.

We are a fast-growing manufacturing, service, and technology company with over 1700 employees in over 15 locations across Canada and the US. We’re looking for motivated self-starters with innovative thinking to join our team and help us achieve our growth and performance goals. Sound like you?

JOB SUMMARY
We are seeking a highly technical and hands‑on  Engineering Manager, AI Applications  to lead the design, development, and delivery of scalable AI-powered applications across the organization.

This role is primarily focused on building real‑world AI applications using modern AI platforms and services (e.g., OpenAI, Azure OpenAI, Google Gemini, Claude, and other emerging AI services). In addition, the role requires solid expertise in Data Science and Machine Learning, ensuring that the team can apply the right approach (whether LLM‑based, traditional ML, or hybrid solutions) based on the problem at hand.

The ideal candidate combines deep technical expertise in AI systems, strong software engineering fundamentals, and the ability to lead and mentor a growing team. This is not a research‑only position, it is a builder and delivery‑focused leadership role that also contributes to AI education and enablement across the organization.

YOU WILL

Lead and mentor a team of 4-8 engineers.

Design and implement scalable AI‑powered applications using modern AI services (OpenAI, Azure OpenAI, Gemini, Claude, etc.), RAG architectures, AI agents, and workflow orchestration.

Apply Data Science and Machine Learning techniques where appropriate, including predictive modeling and model evaluation.

Build and integrate solutions using API‑based LLMs, local/self‑hosted models, Hugging Face, transformer‑based models, and emerging standards such as MCP.

Establish reusable AI/ML architecture patterns, engineering standards, and cost‑efficient deployment practices.

Contribute directly to prototyping, coding, and production delivery.

Translate business needs into structured technical execution plans.

Partner with Product and stakeholders to prioritize AI initiatives based on business value

Collaborate with IT, Security, and Compliance to ensure responsible AI deployment

Contribute to internal AI training sessions and technical workshops.

Promote best practices in AI application design, evaluation, and responsible usage across teams.

Salary: $155,000 - $175,000/yr CAD

The final offer will be determined based on a combination of factors including skills, experience, and alignment with the role’s responsibilities.

Candidates at the lower end of the range will meet the core qualifications and demonstrate strong potential to grow within the role.

Mid‑range offers reflect a solid match with the role’s technical and collaborative requirements.

Offers at the top of the range are reserved for candidates who bring exceptional qualifications, specialized expertise, or unique value that significantly exceeds the baseline expectations

At Safefleet, we are an equal opportunity employer that is committed to…
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