Director & Principal AI/ML Platform Engineer

Socket.dev; Vancouver; On-site; CAD 180,000 - 230,000; Full time

Benefits offered by this job

Bonus program

Stock options

Total rewards program

Job summary

RBC in Vancouver is seeking a Director & Principal Engineer for an AI/ML & MLOps Platform to design, build, and scale data pipelines and ML systems that influence credit decisioning and risk management.

You will lead a team of engineers, set technical direction, and collaborate with data scientists and IT to translate needs into scalable solutions. This is a hands-on leadership role focused on architecture, engineering excellence, and mentorship.

Qualifications

• 8+ years designing data-intensive apps; 3+ years in senior technical leadership.
• Deep expertise in distributed data processing and ML engineering tools (Python, Java/Scala, PySpark, Kafka, SQL).
• Strong ML lifecycle knowledge; MLOps incl. deployment, monitoring, CI/CD; real-time inference.
• Experience with AWS or Azure; scalable architectures; IaC (Terraform, SDK).
• Bachelor's in CS/Engineering; advanced degree preferred.

Responsibilities

• Lead end-to-end data pipelines, ML systems, and analytics platforms.
• Set technical direction and promote best practices in data/ML engineering.
• Collaborate with data scientists and IT to translate needs into solutions.
• Mentor engineers; foster high-performance culture.
• Deliver projects on time with quality, manage risks and governance.

Skills

Python

Java/Scala

PySpark/Spark

Kafka

SQL

AWS/Azure

MLOps

Cloud platforms

Education

Bachelor's in CS/Engineering

Master's or PhD preferred

Tools

AWS SageMaker

Terraform

Apache Airflow

EMR

Step Functions

Job description

RBC in Vancouver is seeking a Director & Principal Engineer for an AI/ML & MLOps Platform to design, build, and scale data pipelines and ML systems that influence credit decisioning and risk management.

You will lead a team of engineers, set technical direction, and collaborate with data scientists and IT to translate needs into scalable solutions. This is a hands-on leadership role focused on architecture, engineering excellence, and mentorship.