Senior Principal AI Engineer

Royal Bank of Canada • Toronto, ON

18h • Onsite

About The Position

We're looking for an experienced Senior Principal AI Engineer who will bring strategic leadership and deep subject-matter expertise in designing and implementing enterprise-scale AI/ML infrastructure, automation tools (MLOps and DevOps), and cloud-native AI solutions. This is a unique opportunity to lead and shape the future of machine learning infrastructure and work with a team of passionate individuals committed to bringing ML to the enterprise.

Requirements

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed