Our engineers are the technical visionaries behind our innovative solutions. Supported by a culture of flexibility, growth, and innovation, join us to create a lasting legacy in safety and simulation.
At CAE, our Technology & Product Development team is dedicated to shaping the future with immersive systems and pioneering technologies that elevate safety and readiness worldwide. AI Architecture & Technical Leadership Define and maintain the enterprise AI architecture, standards, and reference models.
Provide technical leadership and guidance on AI, machine learning, and generative AI solutions.
Act as a trusted advisor to engineering teams, product teams, and business stakeholders on AI design decisions.
Ensure architectural consistency and alignment across AI initiatives and platforms.
Develop and execute a comprehensive 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.
Governance, Security & Responsible AI 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 abreast of industry trends, emerging AI technologies, and vendor offerings.
Evaluate and recommend AI tools, frameworks, and platforms to enhance enterprise AI capabilities.
Drive innovation by identifying opportunities where AI can deliver measurable business value.
Collaborate closely 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 a strong AI community of practice within the organization.
Bachelor’s or Master degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
Several years of experience in software, data, or solution architecture, with significant hands-on experience in AI/ML systems.
Proven experience designing and deploying AI solutions at scale in enterprise environments.
Strong understanding of machine learning, deep learning, and generative AI architectures.
Experience with cloud platforms and AI services (e.
Azure, AWS, GCP).
Familiarity with MLOps/LLMOps practices, model lifecycle management, and AI observability.
Bilingualism (French and English) required.
Flexible benefits optionsDefined Benefits Retirement Plan & Group Registered Retirement Savings Plan (RRSP)Employee Stock Purchase Plan & corporate discountsPhysical Wellness Plan & Supplementary Maternity PlanFlextime & California Fridays all yearSocial and community events throughout the yearAbout CAE At CAE, our mission is transparent: to help make the world a safer place. For nearly 80 years, we’ve driven innovation in simulation, training, and mission readiness to support critical operations worldwide. By leveraging advanced technologies, we empower our customers to operate smarter, faster, and more sustainably.

📌 Ai Architecture Specialist (Winnipeg)
🏢 CAE
📍 Winnipeg