AI Architecture Specialist

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. 11 Information confiden 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. Collaboration & 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 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 operations worldwide. By leveraging advanced technologies, we empower our customers to operate smarter, faster, and more sustainably. Join a purpose-driven organization where bold ideas are encouraged, collaboration drives progress, and your growth fuels our shared success. Position Type Regular Equal Opportunity & Accommodations CAE is committed to providing equal opportunities to all applicants, regardless of race, nationality, color, religion, sex, gender identity or expression, sexual orientation, disability, neurodiversity, veteran status, age, or other characteristics protected by law. We encourage applicants who may not meet every qualification to apply. Reasonable accommodations are available—contact your recruiter or email [email protected] if needed. Data Privacy Privacy Statement | CAE As part of our process, we may use AI‑supported tools to help review applications, with human decision‑making at every step. CAE thanks all applicants for their interest. However, only those whose background and experience match the requirements of the role will be contacted.

The AI Architecture Specialist will define and maintain enterprise AI standards while providing technical leadership for machine learning and generative AI solutions. They will also design end-to-end AI architectures and ensure alignment with business goals, security, and responsible AI principles.

Candidates must hold a Bachelor's or Master's degree in a relevant technical field and possess significant experience in AI/ML systems and enterprise solution architecture. Proficiency in cloud platforms, MLOps/LLMOps practices, and bilingualism in French and English are required.

• Flexible benefits options • Defined benefits retirement plan • Group registered retirement savings plan • Employee stock purchase plan • Corporate discounts • Physical wellness plan • Supplementary maternity plan • Flextime • California fridays • Social and community events

• Microsoft AzurePreferred
• Machine learningPreferred
• Amazon Web ServicesPreferred
• Google CloudPreferred
• Stakeholder ManagementPreferred

Identified from the job description. Confirm important requirements above.

• AI architecture
• Machine learning
• Generative AI
• Technical leadership
• MLOps
• LLMOps
• Cloud platforms
• Azure
• AWS
• GCP
• Data pipelines
• Model development
• AI governance
• Stakeholder management
• System design
• Enterprise architecture
• Influencing Skills
• Responsible AI
• Solution Design
• Virtual Reality
• MLOps (Machine Learning Operations)
• Generative Artificial Intelligence
• Influencing Without Authority
• Observability
• Data Privacy
• Digital Transformation
• Bilingual (French/English)
• Technical Leadership
• AI Design
• Ethical Standards And Conduct
• Architecture Strategy
• Artificial Intelligence
• Amazon Web Services
• Augmented Reality
• Microsoft Azure
• Business Requirements
• Business Valuation
• Communication
• Regulatory Compliance
• Computer Science
• Creativity
• Governance
• Scalability
• Innovation
• Enterprise Architecture
• Machine Learning
• New Product Development
• Operations
• Product Family Engineering
• Solution Architecture

• Technology
• Software
• Data & Analytics
• Engineering
• Security & Safety
• Artificial Intelligence Architect
• Generative Artificial Intelligence Engineer
• Software Developers
• Computer and Information Research Scientists

Minimum education

Bachelor’s degree

Minimum experience

5+ years

Posting language

English

Working hours

40 hours per week