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 detectionDevelop automation frameworks using LangChain and LangGraphConstruct ML-powered monitoring systems to reduce false positivesArchitect production-grade solutions on OpenShift and KubernetesCollaborate with teams to convert operational pain points into automationRequirements:5 years of ML engineering in production systemsExpertise in Agentic AI tools and frameworksProficiency in Python and ML librariesKnowledge of Docker, Kubernetes, and AnsibleAbility to simplify complex concepts for diverse teamsInnovate in financial reliability and enhance customer interaction through advanced AI systems at RBC.#J-18808-Ljbffr

📌 Lead Ai Engineer At Rbc Toronto
🏢 RBC
📍 Toronto