Architecte Ia | AI Architect

RTX · Aerospace · longueuil, QC +1 · Digital Technology

RTX is seeking an experienced AI/ML Architect to lead the design, integration, and scaling of AI solutions within the organization. This role requires a strategic vision and operational expertise to ensure AI initiatives are technically sound, properly governed, and aligned with business objectives. The architect will guide technology choices, support teams in deploying AI/ML architectures, and ensure responsible AI usage.

What you'd actually do

  1. Diriger la conception et l’intégration des solutions d’IA dans l’ensemble de l’écosystème de l’entreprise.
  2. Assurer la coordination entre architectes d’entreprise, architectes de solutions, équipes métier, plateforme et données, afin de garantir l’alignement avec les standards d’architecture, les exigences de sécurité, les objectifs de scalabilité et la création de valeur à long terme.
  3. Recommander et valider les choix technologiques et architecturaux, et accélérer l’adoption des solutions IA/ML internes et externes.
  4. Accompagner les équipes dans la conception et le déploiement d’architectures IA/ML, tout en renforçant les compétences internes et en diffusant les meilleures pratiques.
  5. Participer à la formalisation et au déploiement de la gouvernance et des standards éthiques en IA, pour garantir un usage responsable, transparent et conforme.

Skills

Required

  • University degree in computer science, software engineering, or data science
  • 8+ years of experience in software architecture, AI/ML architecture, or advanced ML solution design
  • Strategic mindset with proven technical leadership and communication skills
  • Proven experience in designing and integrating AI solutions in complex or regulated environments
  • Solid mastery of AI architecture models, including traditional ML, LLMs, RAG approaches, agentic AI, indexing and embedding strategies, and deployment models
  • Hands-on experience with cloud AI ecosystems, including AWS and Azure
  • Experience with MLOps, CI/CD pipelines, and ML model lifecycle governance
  • Good understanding of data, software, and AI governance principles
  • Collaborative mindset and ability to work effectively in interdisciplinary and international environments
  • Ability to evaluate emerging AI technologies considering performance, scalability, and risks

Nice to have

  • French language proficiency
  • English language proficiency

What the JD emphasized

  • experience in designing and integrating AI solutions in complex or regulated environments
  • strong understanding of data, software, and AI governance principles
  • evaluate emerging AI technologies considering performance, scalability, and risks

Other signals

  • leading design and integration of AI solutions
  • accelerate adoption of internal and external AI/ML solutions
  • accompany teams in the design and deployment of AI/ML architectures
  • monitoring emerging AI technologies
  • experience in designing and integrating AI solutions in complex or regulated environments