Shape the future of AI in financial services with RBC as a Lead AI Engineer. This full time role focuses on developing the first-ever Agentic AI platform for software reliability and resilience.

As a founding member of RBC’s Site Reliability Engineering team, you will design and implement advanced AI solutions that proactively detect and resolve incidents. The role emphasizes technical leadership in building intelligent automation frameworks and ML-powered systems, promising an exciting challenge for those passionate about AI technologies in infrastructure.

Key Responsibilities:
• Design end-to-end Agentic AI solutions for incident detection
• Develop automation frameworks using LangChain and LangGraph
• Construct ML-powered monitoring systems to reduce false positives




• Architect production-grade solutions on OpenShift and Kubernetes
• Collaborate with teams to convert operational pain points into automation

Requirements:
• 5 years of ML engineering in production systems
• Expertise in Agentic AI tools and frameworks
• Proficiency in Python and ML libraries
• Knowledge of Docker, Kubernetes, and Ansible
• Ability to simplify complex concepts for diverse teams

Innovate in financial reliability and enhance customer interaction through advanced AI systems at RBC.
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📌 Lead AI Engineer at RBC Toronto (Ontario)
🏢 RBC
📍 Ontario