Level

RBC

Senior AI/ML Engineer

AI in this role

langchainpytorchtensorflow
ai-agentsml-opsnlp

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.

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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.

How we rate this

Senior AI/ML Engineer at RBC rates 87 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsML OpsNLPLangChainPyTorchTensorFlow

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. How do you monitor a model once it's live, and how do you know it needs retraining?
  3. What NLP problem have you worked on, and how did you measure whether it actually worked?
  4. What's a project where you used LangChain hands-on?
  5. Walk me through how you've used PyTorch in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: AI Agents, ML Ops, NLP, LangChain, and PyTorch. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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