AI Architecture Specialist

Location: Montreal

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 strong 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…