Our engineers are the technical visionaries behind our innovative solutions. Globally recognized for delivering cutting-edge systems, you’ll tackle complex challenges, collaborate across functions, and lead advancements that shape our industry. 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. From VR/AR solutions to cutting-edge flight simulation, you’ll work alongside brilliant minds in a rewarding and supportive environment with opportunities to learn and grow every day.
Simply put, you’re empowered to tackle challenges with a team that embraces bold ideas and a commitment to safety and excellence on a global scale. With a career that blends flexibility, creativity, and impact, you’ll play a vital role in an innovative and collaborative team, driving next-generation tech solutions for the moments that matter most.
Key Responsibilities
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.
Strategy & Execution
- 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.
Platform & Solution Design
- 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.
Technology Evaluation & Innovation
- 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 & Enablement
- 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 solid AI community of practice within the organization.
Minimal Qualifications
- 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.g., Azure, AWS, GCP).
- Familiarity with MLOps/LLMOps practices, model lifecycle management, and AI observability.
- Strong communication, influence, and stakeholder management skills.
- Demonstrated ability to balance innovation with enterprise-grade reliability, security, and compliance.
- Bilingualism (French and English) required.
Benefits Offered by CAE
- Flexible benefits options
- Defined Benefits Retirement Plan & Group Registered Retirement Savings Plan (RRSP)
- Employee Stock Purchase Plan & corporate discounts
- Physical Wellness Plan & Supplementary Maternity Plan
- Flextime & California Fridays all year
- Social and community events throughout the year
About CAE
At CAE, our mission is clear: 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 operat
📌 AI Architecture Specialist (Montreal)
🏢 CAE
📍 Montreal