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 systems
Define data and ML engineering standards and technology adoption
Translate partner needs into technical platform solutions




Coach engineers and develop high-performing technical teams
Enforce delivery quality, data governance, and security compliance
Requirements: 8+ years designing and building data-intensive applications
3+ years in senior technical leadership roles
Expertise in Python, Java or Scala, Spark, Kafka, and SQL
Experience with MLOps, deployment, monitoring, CI/CD, and real-time inference
Bachelor’s degree in Computer Science, Engineering, or related field
Apply your AI/ML architecture, MLOps, cloud, and leadership expertise to RBC’s next-generation credit platforms in Vancouver.

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📌 Director AI/ML MLOps Platform Engineering (British Columbia)
🏢 Royal Bank of Canada
📍 British Columbia