Director, AI/ML Platform & MLOps Leadership

RBC; Vancouver; On-site; CAD 150,000 - 190,000; Full time

Job summary

RBC is seeking a senior leader to design and build data-intensive applications, ML platforms, and analytics capabilities. You will balance hands-on coding (20-30%) with architecture leadership, guiding adoption of new data/ML technologies across teams.

You will mentor engineers, champion governance, and ensure scalable, secure solutions that support risk and retail credit decisioning. Your background includes 8+ years in data engineering, strong Cloud + IaC skills, and a track record of

Qualifications

• 8+ years designing data-intensive applications with 3+ years in senior technical leadership.
• Deep expertise in distributed data processing and ML engineering tools/languages.
• Strong MLOps knowledge: model deployment, monitoring, CI/CD, real-time inference.
• Experience with AWS or Azure and IaC tooling (Terraform).
• Excellent communication and leadership of engineering teams.

Responsibilities

• Lead end-to-end data pipelines, analytics platforms, and ML systems with hands-on and leadership.
• Define best practices in data engineering and ML engineering; evaluate new tech.
• Collaborate with data scientists and business leaders to translate needs into solutions.
• Mentor engineers and foster a culture of innovation and high performance.
• Deliver projects with high quality, on time, and with governance and security.

Skills

Distributed data processing

ML engineering

Python

Java/Scala

SQL

Kafka

CI/CD

Cloud fundamentals

Communication

Education

Bachelor’s degree in CS/Engineering

Master’s or PhD preferred

Tools

AWS

Azure

Terraform

PySpark

Spark

Job description

RBC is seeking a senior leader to design and build data-intensive applications, ML platforms, and analytics capabilities. You will balance hands-on coding (20-30%) with architecture leadership, guiding adoption of new data/ML technologies across teams.

You will mentor engineers, champion governance, and ensure scalable, secure solutions that support risk and retail credit decisioning. Your background includes 8+ years in data engineering, strong Cloud + IaC skills, and a track record of