Job DescriptionWhat is the prospect?As a Senior Manager, AI and ML, you will be working on solving core business problems in compliance (trade surveillance, managing regulatory insights, etc) by leveraging AI and ML to optimize business processes and facilitate informed decision making. You will get the opportunity to work on cutting-edge technology and complex problems that generate significant value and have a high long-term impact on the bank’s growth.What will you do?Work on challenging business problems by leveraging large RBC data, translating them into machine learning problems and applying advanced machine learning algorithms to generate business valueLead the end-to-end lifecycle of AI/ML initiatives—from ideation and POC through development, deployment, and production supportDesign and implement Generative AI solutions, including Retrieval-Augmented Generation (RAG) systems, LLM-powered agents, and NLP pipelinesProvide technical leadership and mentorship to team members, fostering a culture of innovation and continuous learningCollaborate with engineering, architecture, and model risk management teams to ensure solutions meet enterprise standards for scalability, security, and governanceStay current with emerging AI/ML technologies and evaluate their applicability to Compliance use casesCommunicate complex technical concepts to non-technical stakeholders and senior leadershipWhat do you need to succeed?Must have:PhD or Masters in a quantitative discipline such as computer science, mathematics, statistics, or engineeringExcellent verbal and written communication skills; ability to work collaboratively with cross-functional teams including business, engineering, and risk management7+ years of expert level programming experience in Python (preferable) and other languages is a must – ability to write production level code and documentation5+ years’ experience working with large unstructured and structured datasets - exploring and understanding data, cleaning and pre-processing, performing exploratory data analysis,



generating business insights and communicating them in a clear, concise manner5+ years’ experience developing and deploying models in production for real business problemsKnowledge of standard machine learning libraries like numpy, pandas, scikit learn and visualization packages like seaborn or matplotllib, etc and machine learning algorithms like logistic regression, tree based models, decision trees, random forests, etcStrong understanding and work experience with core NLP and Generative AI like embeddings, text pre-processing, RNN’s, Transformer architecture, fine-tuning models, prompting techniques, etcDemonstrated experience designing and implementing Retrieval-Augmented Generation (RAG) architectures, including vector databases, embedding models, and retrieval pipelinesExperience building and deploying RESTful APIs for ML model serving (FastAPI, Flask)Experience with MLOps practices, model serving, monitoring, and CI/CD pipelines for ML systemsExperience working with version control – git and linux.Nice-to-haveExperience building autonomous AI agents and multi-agent orchestration frameworks (e.G., LangChain, LangGraph, AutoGen)Prior experience in financial services, particularly in Compliance, Risk, or Regulatory TechnologyExperience working with big data, pyspark, scalaExperience working with deep learning – RNN’s, Transformer models, etc2+ years’ experience working with Deep Learning Frameworks like Tensorflow or PytorchWhat’s in it for you?We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential,



making a difference to our communities, and achieving success that is mutual.A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicableLeaders who support your development through coaching and managing opportunitiesAbility to make a difference and lasting impactWork in a dynamic, collaborative, progressive, and high-performing teamA world-class training program in financial servicesOpportunities to do challenging workOpportunities to take on progressively greater accountabilitiesOpportunities to build close relationships with clientsAccess to a variety of job opportunities across business and geographiesJob SkillsActuarial Modeling, Big Data Management, Commercial Acumen, Data Mining, Data Science, Decision Making, Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Python (Programming Language)Additional Job DetailsAddress: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOCity: TorontoCountry: CanadaWork hours/week: 37.5Employment Type: Full timePlatform: TECHNOLOGY AND OPERATIONSJob Type: RegularPay Type: SalariedPosted Date: 2026-04-27Application Deadline: 2026-08-15Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveOur Employment OpportunitiesAt RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.#J-18808-Ljbffr

📌 Lead, Machine Learning Engineer, Gft (Toronto)
🏢 The Institute for Performance and Learning
📍 Toronto