Senior AI/ML Engineer

Job summary

Develop and train AI models and intelligent agents using LLMs to support anomaly detection and payment process automation. Collaborate with cross-functional teams to deploy, monitor, and research new AI techniques within the Global Payments domain.

Job details

Job Description What is the opportunity? Are you a creative, results-driven professional passionate about delivering high-performing AI solutions? Join our collaborative and innovative team within Global Payments Technology, where your ideas and contributions are valued. Global Payments Technology is part of RBC’s Technology and Operations division, collaborating with partners across the company to deliver innovative IT solutions. Our clients span various departments, including Risk, Finance, HR, and more. We lead the development of digital tools and platforms to enhance collaboration and are known for our culture of innovation, inclusivity, and collaboration. This role is part of the Global Payments Technology team, focusing on building AI agents powered by AI and Large Language Models (LLMs) to deliver value within the Global Payments domain. What will you do? Develop and train AI models, including LLMs, to create intelligent agents for various use cases. Collaborate with the team to design and implement AI solutions for anomaly detection and payments process automation. Preprocess and analyze data to ensure model accuracy and performance. Deploy and monitor AI models in production environments. Contribute to research and development of new AI techniques and technologies. What do you need to succeed? Must-have Proficiency in programming languages such as Python, with experience in machine learning libraries (e.g., TensorFlow, PyTorch). Strong understanding of machine learning algorithms and techniques, including natural language processing. Experience with data preprocessing, model training, and evaluation. Ability to work collaboratively in a team environment. Excellent problem-solving and analytical skills. Experience using Large Language Models (LLMs) and frameworks such as LangChain, Langraph, and others. Nice-to-have Familiarity with cloud computing platforms (e.g., AWS, Google Cloud, OpenShift). Experience with MLOps and model deployment pipelines. Knowledge of payment processing systems and financial services. What’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 applicable Leaders who support your development through coaching and managing opportunities Ability to make a difference and lasting impact Work in a dynamic, collaborative, progressive, and high-performing team Flexible work/life balance options Opportunities to do challenging work Opportunities to take on progressively greater accountabilities Access to a variety of job opportunities across business #LI-Post #TechPJ Job Skills Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages Additional Job Details Address: 180 WELLINGTON ST W:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2026-08-24 Application Deadline: 2026-10-30 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Our Employment Opportunities At 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com. RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

What you’ll do

Develop and train AI models and intelligent agents using LLMs to support anomaly detection and payment process automation. Collaborate with cross-functional teams to deploy, monitor, and research new AI techniques within the Global Payments domain.

Requirements

Requires proficiency in Python, machine learning libraries, and experience with LLM frameworks like LangChain. Candidates should possess strong analytical skills and experience in data preprocessing and model evaluation.

Benefits

• Bonuses
• Flexible benefits
• Competitive compensation
• Commissions
• Stock options
• Flexible work/life balance

Listed skills

• Problem solving · Preferred
• Machine learning · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• Machine learning
• TensorFlow
• PyTorch
• Natural language processing
• Large language models
• LangChain
• Langraph
• Data preprocessing
• Model training
• Anomaly detection
• Payments process automation
• MLOps
• Cloud computing
• Analytical skills
• Problem-solving
• Large Language Modeling
• Workplace Inclusivity
• MLOps (Machine Learning Operations)
• Data Preprocessing
• Google Cloud Platform (GCP)
• Programming Languages
• AI Agents
• Analytical Skills
• Artificial Intelligence
• Amazon Web Services
• Anomaly Detection
• Big Data
• Business Process Automation
• Cloud Computing
• Finance
• Financial Services
• Innovation
• Intelligent Agent
• Problem Solving
• Python (Programming Language)
• Machine Learning Algorithms
• Machine Learning
• Natural Language Processing (NLP)
• OpenShift
• Operations
• Payment Processing
• Predictive Analytics
• Coaching
• Data Science
• Deep Learning
• PyTorch (Machine Learning Library)
• Machine Learning Frameworks

Job areas

• Technology
• Data & Analytics
• Software
• Finance & Accounting
• Engineering
• Machine Learning Engineer
• Software Developers
• Computer and Information Research Scientists

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