AI Engineer

Toronto, ON
On-site
Posted Oct 8, 2026
1 position

Opens an external site

Employment type: Full-time
Experience level: Mid-level · 2+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 38 hours per week

Job summary

You will develop and implement applied AI solutions for Sales & Trading, focusing on predictive analytics for electronic trading and automated pricing. The role involves framing complex commercial questions as quantitative problems and delivering end-to-end solutions that improve desk-facing capabilities.

Job details

Job Description What is the opportunity? The AI & Digital Innovation team in RBC Capital Markets is seeking an AI Engineer with expertise in software engineering, applied AI, Generative AI, and quantitative computation to collaborate with Sales & Trading and develop desk-facing solutions. You will work across how sales understand clients, how sales and traders set a price, and how that price drives a sale, applying predictive analytics at scale to electronic trading and automated price setting. What will you do? Identify and build desk-facing applied AI capabilities for Sales & Trading, with an emphasis on improving how sales understand clients, how sales and traders set a price, and how that price drives a sale. Frame ambiguous commercial questions as tractable quantitative and applied AI problems, translating business needs and desk context into clear opportunities that can be evaluated, delivered, and adopted by real users. Develop predictive analytics for electronic trading and automated price setting, with an emphasis on using evidence from large-scale data to strengthen pricing judgment and improve the usefulness of desk-facing capabilities. Design and implement computation at scale for heavy data work, making quantitative analysis practical, repeatable, and reliable while supporting solutions that can operate effectively in production environments. Deliver applied AI solutions end to end through evaluation, production readiness, and adoption, shortening the path from an identified opportunity to a capability that real users can rely on in their day-to-day work. Learn from real user feedback and improve delivered capabilities after they are in use, with an emphasis on responding to observed needs, strengthening reliability, and increasing practical value for Sales & Trading stakeholders. In this role, you will communicate and interact frequently with RBC partners and/or employees located across Canada and/or worldwide. What do you need to succeed? Must-have A post-secondary degree in Physics, Mathematics, Quantitative Finance, Computer Science or a related quantitative discipline, or equivalent hands-on experience. 2 to 5 years of experience building Deep Learning or Machine Learning models in production environments. A demonstrated record of shipping non-trivial systems that real users depend on, with initiative and end-to-end ownership. Advanced proficiency in Python and hands-on experience with applied AI and Generative AI frameworks and architectures. Experience with quantitative analysis and setting up computation at scale for heavy data work. Strong foundation in algorithms, data structures, and distributed computing. Interest in applying and developing new technologies to prioritize the goal of creating business outcomes Understanding of Sales & Trading workflows within Capital Markets Nice-to-have Risk concepts, market microstructure, and quantitative finance fluency for pricing, trading and risk-management. Exposure to electronic trading, automated pricing, or predictive analytics. Retrieval, context design, and information-retrieval methods. Experience delivering in a regulated or security-conscious environment. 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 Algorithms, Big Data Management, Business, Computer Science, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Mathematics, Predictive Analytics, Problem Solving, Programming Languages, Risk Management Additional Job Details Address: ROYAL BANK PLAZA, 200 BAY ST:TORONTO City: Toronto Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: CAPITAL MARKETS Job Type: Regular Pay Type: Salaried Posted Date: 2026-09-23 Application Deadline: 2026-10-23 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

Requirements

Candidates must have a post-secondary degree in a quantitative discipline and 2 to 5 years of experience building production-level Deep Learning or Machine Learning models. Proficiency in Python, strong algorithmic foundations, and an understanding of Sales & Trading workflows are essential.