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Added 14 mins ago
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Royal Bank of Canada

Senior AI/ML Engineer

Toronto, ON, M9W 0A4, Canada

Full-time

This date has passed. Check with the employer before applying.

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Job details

Job type: Full-time
Listed closing date: Sep 25, 2026
Posting language: English
Posted: Aug 29, 2026

Original job description

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

#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:

2026-09-25

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.

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More about this job

Responsibilities

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

Requirements

Requires proficiency in Python and machine learning libraries such as TensorFlow or PyTorch, along with a strong understanding of NLP and LLM frameworks. Candidates should possess excellent analytical skills and experience in data preprocessing and model evaluation.

Skills

Python
TensorFlow
PyTorch
Machine learning algorithms
Natural language processing
Data preprocessing
Model training
Large Language Models
LangChain
Langraph
Anomaly detection
Payments process automation
MLOps
Cloud computing
Analytical skills
Problem-solving

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

AI
ML
Python
TensorFlow
PyTorch
Large Language Models
LLMs
LangChain
Langraph
Anomaly Detection
Payments
MLOps
Cloud Computing
AWS
Google Cloud
OpenShift
Data Mining
Data Science
Deep Learning
Predictive Analytics
Big Data Management
Natural Language Processing
Financial Services
Model Deployment
Automation

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