Build end-to-end AI solutions from initial design to production deployment.
Translate business requirements into technical risk management applications.
Present technical project updates to both peers and senior management.
What they're looking for
Experience prototyping GenAI applications using LLMs, LangChain, and vector databases.
Proficiency in Python and modular software development best practices.
Knowledge of machine learning, deep learning, and RAG systems.
Currently pursuing a degree in computer science, engineering, or statistics.
Must be available for a 4-month term from January to April 2027.
Job Description
What is the opportunity?
At RBC’s 2025 Investor Day, we reaffirmed our strategic ambition to become a client-centric, future-ready leader by harnessing data, digital innovation, and AI to deliver unparalleled value. Our commitment to technological excellence—recognized globally as a top-three bank for AI maturity—positions us at the forefront of an AI-informed banking era. With a bold goal to generate up to $1 billion in enterprise value from AI by 2027, we are accelerating investments in transformative technologies to redefine industry standards.
To fuel this vision, we are seeking a highly motivated Intern to join our team and contribute to cutting-edge projects in advanced analytics for risk management. This role offers a unique opportunity to apply data science and software engineering skills in real-world applications, directly impacting risk management workflows through solutions like generative AI, machine learning, and deep learning. As part of our dynamic team, you will collaborate on projects that drive efficiency, automation, and strategic business value—playing a key role in shaping the future of RBC’s AI-driven innovation.
What will you do?
Participate in the end-to-end development of high-impact AI solutions, from idea design and PoC to production deployment.
Work closely with business users to understand their needs, translate business use cases into practical technical problems, and iterate on solutions based on feedback.
Focus on building real-world applications that address business challenges, rather than conducting pure research.
Continuously learn and keep up with the latest advancements in AI and related technologies, sharing knowledge with the team.
Present technical solutions and project updates to both technical peers and senior managements.
What do you need to succeed?
Must-have
Hands-on experience prototyping GenAI applications, including working with foundational LLMs (e.g., GPT models via API) and transformer models (e.g., Hugging Face Transformers); familiarity with frameworks and tools (e.g., LangChain, LangGraph, LlamaIndex, Haystack), and vector databases (e.g., Weaviate, PGVector).
Hands-on experience with prompt engineering, including designing and refining prompts to optimize LLM outputs.
Hands-on experience developing modular, robust, and scalable software in Python 3.x.
Knowledge of modular RAG (Retrieval-Augmented Generation) and agentic systems.
Knowledge of professional software engineering best practices across the software development lifecycle, including coding standards, testing methods, code reviews, and version control.
Knowledge of machine learning and deep learning algorithms (e.g., supervised methods such as decision trees, gradient boosting, deep neural networks; unsupervised methods such as clustering and dimensionality reduction), as well as natural language processing techniques (e.g., TF-IDF, transformer models, embedding models).
Demonstrated willingness and ability to quickly learn and adapt to new advancements in ML/DL/GenAI.
Strong logical thinking skills and attention to detail.
Effective communication skills and a collaborative, team-oriented attitude.
A bachelor’s or master’s degree or higher in computer science, engineering, statistics, or a related field is preferred
Nice-to-have
Knowledge of embedding model fine-tuning, Model Context Protocol (MCP), LLM performance evaluation.
Experience deploying GenAI applications in production environments and supporting enterprise-scale use cases.
Hands-on experience implementing solutions using modern ML/DL frameworks and tools, such as PyTorch, JAX, TensorFlow, scikit-learn, or Hugging Face Transformers.
Experience working in regulated or governed environments.
Familiarity with financial risk management concepts.
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.
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.
Opportunities to do challenging work and make a difference.
Opportunities to building close relationships.
Please note: This posting is for a 4-months Winter 2027 Student placement with a start date of January 2027, and end date of April 2027. In order to be eligible for this 4-months Student position, you must either:
Be returning back to school after the work term end-date of April 2027 ; or
If you are not returning back to school (i.e. are graduating in April 2027), you must require the full 4-months work term as a mandatory component to in order to graduate successfully.
Please ensure that you meet these eligibility requirements before applying - candidates who apply but are found to be ineligible are not able to be considered.
We encourage you to apply as soon as possible as we accept applications on a rolling basis, but please note that the formal application deadline is October 18, 2026. Should you be selected to progress, someone from our team will reach out directly to provide instructions on next steps. Otherwise, feel free to check for progress updates by logging in to your RBC profile. If the status has not changed, it denotes the fact that your application is still under review.
RBC is committed to supporting flexible work arrangements when and where available. The successful candidate for this role will be required to be located within Ontario for the duration of the work term. Details regarding the specific virtual, hybrid, and in-office arrangements for this Integrated Learning/ Co-op position are to be discussed with the Hiring Manager.
ET27
Job Skills
Communication, Computer Literacy, Detail-Oriented, Interpersonal Relationships, Listening Effectively, Personal Development, Personal Initiative
Additional Job Details
Address:
RBC CENTRE, 155 WELLINGTON ST W:TORONTOCity:
TorontoCountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
GROUP RISK MANAGEMENTJob Type:
Student/Coop (Fixed Term)Pay Type:
SalariedPosted Date:
2026-10-05Application Deadline:
2026-10-19Note: 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.
From Royal Bank of Canada's public posting, laid out for reading by newgrad.ai with the wording unchanged. Check the original before you apply.
