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Expert Systems Architect

Job in Montréal-Est, Montréal, Province de Québec, Canada
Listing for: Canadian National Railway Company
Full Time position
Listed on 2026-08-04
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Systems Engineer, Cloud Computing: Infrastructure & Operations, IT Consultant
Salary/Wage Range or Industry Benchmark: 140000 - 190000 CAD Yearly CAD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Location: Montréal-Est

Expert System Architect

At CN, everyday brings new and exciting challenges. You can expect an interesting environment where you’re part of making sure our business is running optimally and safely―helping keep the economy on track. We provide the kind of paid training and opportunities that long-term careers are built on and we recognize hard workers who strive to make a difference. You will be able to thrive in our close-knit, safety-focused culture working together as ONE TEAM.

The careers we offer are meaningful because the work we do matters. Join us!

Job Summary

The Expert System Architect is a key resource in delivering platforms on behalf of IT and the business unit(s). The Expert System Architect creates strategic digital platform solutions that deliver tangible business results to enable CN’s digital evolution, integrations, and business strategy. Expert in designing and developing design-thinking solutions, they carefully combine the latest development methodologies, intelligent automation, and tools to deliver platform solutions.

Ultimately, this enables the company to deliver innovative new capabilities seamlessly, swiftly, and efficiently.

Responsibilities
  • Develop strategic digital platform solutions infused with AI and automation that deliver tangible business results.
  • Bridge the hardware-software boundary by understanding principles of functional and solution architecture, as well as software development, and deliver them in cloud, private cloud, or hybrid clouds.
  • Combine the latest Dev Sec Ops  methodologies and tools to enable the delivery of bespoke platform solutions.
  • Champion how digital platform solutions, AI technologies, and advanced automation play a role in realizing strategic opportunities to improve customer experience and operational efficiency.
  • Design and implement AIOps strategies to enhance system reliability, enable predictive maintenance, and drive automated incident resolution across the platform ecosystem.
  • Use Dev Sec Ops  methodologies to streamline the delivery of projects cost-effectively, ensuring alignment with the business unit’s goals, timeline, and budget.
  • Automate software development, software operations, and processes seamlessly, efficiently, and cost-effectively, heavily leveraging Infrastructure as Code (IaC) and hyper-automation principles.
  • Improve software quality and accelerate software releases by adopting a culture, practice, and the tools designed to increase CN’s ability to deliver applications and services more rapidly.
  • Integrate Artificial Intelligence (AI) and Machine Learning (ML) capabilities into platform architectures to drive innovation, optimize business workflows, and enable data-driven decision-making.
  • Promote available platform capabilities and expertise to business unit leaders and educate them on how to leverage these capabilities (including AI and automation) to achieve their business goals.
  • Work closely with Infrastructure, Operations, Data Science teams, and Business Units to refine requirements for various platform initiatives.
  • Meet with stakeholders to identify fit-for-purpose solutions within CN’s existing ecosystem.
  • Achieve customer success through strategic business outcomes, technology optimization, and ongoing organization enablement.
  • Help CN stakeholders and internal users become better connected to digital capabilities, establishing an agreed-upon reference architecture and roadmap for implementation.
Requirements
  • Bachelor's degree or more in computer science or related discipline.
  • 10+ years' experience in IT.
  • 5+ years in a similar role of work experience in platform architecture and digital transformation initiatives including yet not limited to planning, business architecture, solution development, data integration, platform modeling, automation, optimization, and quality assurance.
  • Proven experience architecting and implementing AI/ML solutions, Intelligent Automation, and AIOps frameworks within an enterprise architecture.
  • Strong ability to bring complex concepts to actionable architecture deliverables.
  • Strong ability at taking hard decisions by understanding and explaining trade-offs between business enablement and economic…
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