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CAE

Provides high-fidelity flight simulators and training

AI Architecture Specialist

AI & Machine LearningConfirmed live in the last 24 hours
Full-timeMontreal, QC, CanadaNo salary listedIn-person

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field is required.
  • Several years of experience in software, data, or solution architecture, including significant hands-on experience in artificial intelligence and machine learning systems.
  • Proven experience designing and deploying artificial intelligence solutions at scale in enterprise environments.
  • Strong understanding of machine learning, deep learning, and generative artificial intelligence architectures.
  • Experience with cloud platforms and artificial intelligence services such as Azure, AWS, or GCP.
  • Familiarity with MLOps/LLMOps practices, model lifecycle management, and AI observability.
  • Bilingualism in French and English is required.
  • Ability to balance innovation with enterprise-grade reliability, security, and compliance.

Responsibilities

  • Define and maintain enterprise AI architecture, standards, and reference models.
  • Provide technical leadership and guidance on AI, machine learning, and generative AI solutions.
  • Advise engineering teams, product teams, and business stakeholders on AI design decisions.
  • Ensure architectural consistency and alignment across AI initiatives and platforms.
  • Develop and execute an AI architecture strategy aligned with business goals, digital transformation, and enterprise architecture principles.
  • Translate business requirements into scalable, secure, and maintainable AI architectures.
  • Identify, assess, and mitigate architectural risks, including technical debt related to AI solutions.
  • Design end-to-end AI solutions, including data pipelines, model development, training, deployment, and monitoring architectures.
  • Ensure seamless integration of AI capabilities with data platforms, applications, and enterprise systems.
  • Support MLOps and LLMOps practices to enable reliable, repeatable, and scalable AI deployments.
  • Define and enforce best practices for AI governance, ethics, security, privacy, and regulatory compliance.
  • Ensure AI solutions adhere to responsible AI principles, including transparency, explainability, fairness, and robustness.
  • Collaborate with security, legal, and compliance teams to address AI-related risks.
  • Stay informed about industry trends, emerging AI technologies, and vendor offerings.
  • Evaluate and recommend AI tools, frameworks, and platforms to enhance enterprise AI capabilities.
  • Identify opportunities where AI can deliver measurable business value.
  • Collaborate with data, platform engineering, MLOps, and product teams.
  • Support and mentor technical teams on AI architecture patterns, best practices, and design trade-offs.
  • Contribute to building an AI community of practice within the organization.

About the Company

CAE

Provides high-fidelity flight simulators and training

CAE provides training, simulation, and critical operations solutions for aviation and defense, creating high-fidelity flight simulators and comprehensive training programs for pilots, cabin crew, maintenance technicians, airlines, business aviation operators, and security personnel. Its products work by combining realistic simulators, advanced software, and hands-on instruction to reproduce real-world flight and operational scenarios in a safe, controlled environment, plus ongoing support for mission readiness. Compared with competitors, CAE operates at a global scale with about 13,000 employees across roughly 240 training locations in over 40 countries, a long history of experience, and a focus on embedding sustainability while delivering reliable, standards-aligned training. Its goal is to make the world safer by helping professionals perform at their best when the stakes are highest and to be a trusted partner for safety and mission readiness today and tomorrow.

Company size
10,001+
Company stage
IPO
Headquarters
Montreal, Canada
Founded
1947

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