Architect AI/ML and MLOps platforms at RBC in Vancouver, using Python, Spark, and cloud architecture to shape credit decisioning systems. Lead hands-on engineering with 20–30% coding and technical direction.
As Director & Principal Engineer, you will build scalable data pipelines, analytics platforms, and machine learning systems. You will guide platform capabilities supporting retail credit decisioning and risk management. The role combines architecture, engineering leadership, team management, and mentorship across technical and business partners.

Key Responsibilities




Design and review scalable data pipelines and machine learning systemsDefine data and ML engineering standards and technology adoptionTranslate partner needs into technical platform solutionsCoach engineers and develop high-performing technical teamsEnforce delivery quality, data governance, and security complianceRequirements: 8+ years designing and building data-intensive applications3+ years in senior technical leadership rolesExpertise in Python, Java or Scala, Spark, Kafka, and SQLExperience with MLOps, deployment, monitoring, CI/CD, and real-time inferenceBachelor’s degree in Computer Science, Engineering, or related fieldApply your AI/ML architecture, MLOps, cloud, and leadership expertise to RBC’s next-generation credit platforms in Vancouver.

📌 Director Ai/Ml Mlops Platform Engineering (Canada)
🏢 Royal Bank of Canada
📍 Canada