Enterprise ML Platform Architect & MLOps Leader

rbc; Toronto; On-site; CAD 180,000 - 240,000; Full time

Job summary

RBC in Toronto is seeking a Senior Principal AI Engineer to lead enterprise-scale ML infrastructure and automation across on-prem and cloud. You will shape tools, standards, and deployment pipelines for data and ML applications.

You will mentor engineers, collaborate with researchers, and guide infrastructure decisions leveraging GCP Vertex AI, LangChain, and modern MLOps stacks to scale AI across the bank.

Qualifications

• Extensive experience designing and implementing distributed ML systems at scale.
• Hands-on experience with GCP services, particularly Vertex AI for model training, deployment, and monitoring
• Experience building and integrating Generative AI solutions, including LLMs, RAG architectures, and AI harnesses/orchestration frameworks (e.g., LangChain, LlamaIndex)
• Proficiency with MLOps orchestration tools such as AirFlow, KubeFlow, Dagster, or Flyte
• Experience with DevOps pipelines (Jenkins, GitHub Actions)
• Strong programming skills in Python; familiarity with Bash or JavaScript a plus
• Hands-on experience deploying hybrid environments across GCP, AWS, and/or Azure
• Familiarity with ML frameworks such as PyTorch or TensorFlow
• Knowledge of software engineering best practices including testing, code reviews, and source control

Responsibilities

• Leading the design, architecture, and optimization of machine learning deployment tools and automation systems that operate the business's data and ML applications
• Defining and implementing best practices and standards for data and machine learning pipelines across the organization
• Collaborating with engineers and machine learning researchers to automate code analysis, build, integration, and deployment of ML applications
• Providing technical guidance on infrastructure design decisions and monitoring solutions
• Building highly scalable, resilient cloud and on-premise systems for hosting machine learning systems using state-of-the-art technologies, including Google Cloud Platform (GCP) and Vertex AI
• Mentoring junior engineers and contributing to team growth and technical excellence

Skills

Distributed ML

GCP Vertex AI

Generative AI / LLMs

MLOps / DevOps

Python

Hybrid cloud

Cloud reliability

Tools

AirFlow

KubeFlow

Dagster

Flyte

Jenkins

GitHub Actions

PyTorch

TensorFlow

LangChain

LlamaIndex

Job description

RBC in Toronto is seeking a Senior Principal AI Engineer to lead enterprise-scale ML infrastructure and automation across on-prem and cloud. You will shape tools, standards, and deployment pipelines for data and ML applications.

You will mentor engineers, collaborate with researchers, and guide infrastructure decisions leveraging GCP Vertex AI, LangChain, and modern MLOps stacks to scale AI across the bank.