AI Architecture Specialist

CAE Inc; Montreal (administrative region); On-site; CAD 140,000 - 190,000; Full time

Benefits offered by this job

Flexible benefits

Defined benefits

Retirement plan

RRSP

Stock purchase plan

Wellness plan

Maternity plan

Flextime & Fridays

Community events

Job summary

CAE Inc in Montreal, QC is seeking a Senior AI Architect to lead our enterprise AI architecture and strategy, guiding ML and generative AI initiatives across engineering, product, and business teams.

You will define standards, oversee data pipelines and deployment architectures, ensure security, governance, and responsible AI practices, and mentor cross‑functional teams to deliver scalable, reliable AI solutions.

Qualifications

• Bachelor’s or Master degree in Computer Science or related field.
• Significant hands-on experience in AI/ML systems and software/data architecture.
• 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 (Azure, AWS, GCP).
• Familiarity with MLOps/LLMOps practices, model lifecycle management, and AI observability.
• Strong communication, influence, and stakeholder management skills.
• Bilingual French and English required.

Responsibilities

• Define and maintain the enterprise AI architecture, standards, and reference models.
• Provide technical leadership 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.
• Translate business requirements into scalable, secure 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.
• 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.

Skills

AI architecture leadership

Enterprise AI strategy

MLOps / LLMOps

Stakeholder management

Cloud platforms (Azure AWS GCP)

Communication excellence

Bilingual French & English

Education

Bachelor’s or Master degree in Computer Science or related field

Job description

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

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—

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.

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.

We hold ourselves accountable for building an inclusive community at every level, and our comprehensive benefits support you professionally and personally. Together, we are All For shaping a future where safety, sustainability, and inclusivity lead the way. Join us and be part of something bigger—where your impact reaches beyond CAE and helps shape the world of tomorrow.