AI Architecture Specialist-EN

CAE; Montreal (administrative region); On-site; CAD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible benefits

Retirement plan & RRSP

Employee stock purchase plan

Wellness program

Flextime

Job summary

CAE seeks an AI Architecture & Technical Leadership role to shape enterprise AI strategy and lead architecting efforts across data pipelines, model development, deployment, and governance. You will drive secure, scalable AI architectures, collaborate with engineering and product teams, and mentor on AI patterns and best practices.

Join CAE to influence strategic AI initiatives, advance MLOps/LLMOps practices, and contribute to safety and simulation technologies on a global scale.

Qualifications

• Bachelor’s or Master in Computer Science, AI, Data Science, Engineering or related field.
• Several years of software, data or solution architecture with hands-on AI/ML systems experience.
• Proven track record designing and deploying AI solutions at scale in enterprise environments.
• Strong understanding of ML, DL, and generative AI architectures.
• Experience with cloud platforms and AI services (Azure, AWS, GCP).

Responsibilities

• Define and maintain enterprise AI architecture, standards, and reference models.
• Provide technical leadership on AI, ML, and generative AI solutions.
• Advise engineering, product, and business stakeholders on AI design decisions.
• Ensure architectural consistency across AI initiatives and platforms.
• Develop and execute AI architecture strategy aligned with business goals.
• Translate requirements into scalable, secure AI architectures.
• Design end-to-end AI solutions including data pipelines, model development, deployment and monitoring.
• Support MLOps and LLMOps practices for reliable AI deployments.
• Define and enforce AI governance, security, privacy, and regulatory compliance.
• Stay abreast of AI trends and evaluate tools/frameworks to enhance capabilities.
• Collaborate with data, platform engineering, MLOps and product teams.

Skills

AI architecture

Technical leadership

ML/Generative AI

Stakeholder management

Cloud platforms

MLOps/LLMOps

Education

Bachelor’s or Master in CS/AI/Data Science/Engineering

Tools

Azure

AWS

GCP

ML Ops

Job description

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.

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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 [e-mail] 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.