Staff AI Engineer (Global Security)

Job Description

What is the opportunity?

The Staff AI Engineer (Global Security) will be part of Global IT Risk's critical modernization initiative, designing and building advanced AI models that power our IT Risk & Control Assessment platform. Your models will provide data-driven Inherent and Residual Risk Ratings across all RBC applications globally, scaling our assessment capability from today's manual, subset approach to full automation across all domains. These Assessments aim to provide a data-driven Inherent and Residual Risk Rating for every application in RBC across domains of Risk. To conduct a Risk Assessment and their supporting calculations, several key data points are required, including Control Assessments, IT Issues Management findings, Control Environment details and Control Testing results. These data points will drive effectiveness and reliability in the calculation of Residual Risk. The Residual Risk and associated control gaps will then be aggregated to formulate action plans and a risk score for both domain owners and Applications to executives. This solution will scale out our assessment capability across all appcodes globally and domains and will direct leadership decisions on how to reduce the impact and likelihood of regulatory, financial or reputational risks to RBC.

What will you do?

• Design and build AI models that automate control testing, risk assessment, and anomaly detection across IT domains, serving as consultant on the estate of models across the GITR ecosystem
• Lead model customization and optimization sub-projects/spikes—customizing and optimizing existing and pre-trained models (including LLMs) for RBC's specific risk quantification use cases
• Drive AI model technical decisions—making informed recommendations on model selection, architecture, and implementation approaches to support the team
• Act as liaison with model suppliers and stakeholders, evaluating and integrating third-party solutions where appropriate
• Collaborate closely with the Platform Engineer to ensure models are production-ready and seamlessly integrated into the GITR ecosystem
• Own model performance monitoring—rigorously evaluating model performance, tuning hyperparameters, validating results, and continuously iterating on improvements based on real-world performance data
• GITR AI Champion—support the training and adoption of AI into process re-designs, educating teams on model capabilities, limitations, and best practices

What do you need to succeed?

Must-have

• Advanced Python programming
• Expertise in Machine Learning frameworks: Scikit-learn, PyTorch, TensorFlow, Hugging Face
• Experience with SQL and data manipulation libraries (Pandas, NumPy, Polars
• Demonstrated experience building and customizing multiple types of AI models:
  • Supervised learning (classification, regression, ensemble methods)
  • Unsupervised learning (clustering, anomaly detection)
  • Natural Language Processing (NLP) and Large Language Models (LLMs)
  • Time-series forecasting and sequential models
  • Transfer learning and fine-tuning pre-trained models

Nice-to-have

• Prior RBC experience
• Risk Management background and certifications (e.g., CRISC)
• Experience with model deployment and MLOps practices
• Familiarity with IT Risk domains or control frameworks

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

Actuarial 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 Details

Address:

16 YORK ST: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:

2026-04-07

Application Deadline:

2026-05-07

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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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.