About the role#
This is an 8-month internship within the Group Risk Management team at RBC. You will work on AI-driven projects that aim to improve risk management workflows through generative AI, machine learning, and deep learning. This role focuses on building practical applications that address business challenges.
What you'll do#
- Build and deploy high-impact AI solutions, moving from initial design and proof-of-concept to production.
- Translate business use cases into technical problems by working directly with business users.
- Develop project strategies and create executive presentations.
- Build real-world applications that solve specific business challenges.
- Research new developments in AI and share findings with the team.
What you'll need#
- Hands-on experience with prompt engineering to optimize LLM outputs.
- Experience developing modular and scalable software using Python 3.x.
- Knowledge of modular RAG systems and agentic systems.
- Understanding of machine learning and deep learning algorithms, including both supervised and unsupervised methods.
- Familiarity with professional software engineering practices across the development lifecycle.
- Pursuing a degree in Business Administration, Computer Science, Computer Engineering, or Statistics.
Location & details#
- Location: Toronto, Ontario, Canada.
- Term: Fall 2027.
- Modality: On-site.
- Status: Full-time, paid internship.
About RBC
RBC is a global financial institution based in Toronto, Ontario. It operates as Canada's largest bank and maintains a presence in the United States and 27 other countries. The company employs over 100,000 people and serves more than 17 million clients. Its business model covers banking, investing, insurance, and capital markets.
How to get in at RBC
Securing an internship at RBC requires speed and preparation. Because the bank receives a high volume of applications, timing is critical. Intern Insider sends an instant alert the moment a role matching your target is published anywhere, so you apply among the first. Early applicants get seen before the pile grows, which helps you avoid getting lost in the system. Beyond speed, you should focus on networking with the right people. Intern Insider surfaces the recruiters behind the company's roles so you can reach out directly to ask about the role or a referral. This direct approach materially improves response rates compared to submitting a cold application.
