RBC
Financial Services
2026Fall–GRM,Developer-AIInnovationforRiskManagement(4Months)
Neural analysis suggests this role is
optimal for Mid+ candidates.
“2026 Fall – GRM, Developer - AI Innovation for Risk Management (4 Months) at RBC. Skills: AI Innovation, Risk Management, GenAI, Machine Learning. Participate in end-to-end development of AI solutions. Design AI solutions”
What You'll Achieve.
Generate up to $1 billion in enterprise value from AI by 2027
Industry & Context.
Translate business use cases into technical problems; Logical thinking skills
Located within Ontario
What They're Looking For.
Must Have
Hands-on experience prototyping GenAI applications, Working with foundational LLMs, Working with transformer models, Familiarity with LangChain, LangGraph, LlamaIndex, Haystack, Familiarity with Weaviate, PGVector, Hands-on experience with prompt engineering, Hands-on experience developing modular, robust, scalable software in Python 3.x, Knowledge of modular RAG, Knowledge of agentic systems, Knowledge of professional software engineering best practices, Knowledge of machine learning algorithms, Knowledge of deep learning algorithms, Knowledge of natural language processing techniques, Demonstrated willingness to learn new advancements, Logical thinking skills, Attention to detail, Effective communication skills, Collaborative, team-oriented attitude
Nice to Have
Knowledge of embedding model fine-tuning, Knowledge of Model Context Protocol, Knowledge of LLM performance evaluation, Experience deploying GenAI applications in production, Experience supporting enterprise-scale use cases, Hands-on experience implementing solutions using PyTorch, JAX, TensorFlow, scikit-learn, Hugging Face Transformers, Experience working in regulated environments, Familiarity with financial risk management concepts, Bachelor's or master's degree or higher in computer science, engineering, statistics, or related field
What You'll Do.
Participate in end-to-end development of AI solutions
Work closely with business users
Understand user needs
Translate business use cases
Iterate on solutions based on feedback
Build real-world applications
Address business challenges
Continuously learn AI advancements
Keep up with AI technologies
Share knowledge with team
Present technical solutions
Present project updates
How You'll Work.
Team & Collaboration
Collaborate on projects; Share knowledge with team; Present to senior management
Communication Scope
Present technical solutions; Present project updates
Process & Methodology
Software development lifecycle
Full Job Description
**_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 Winter Intern to join our team (AiXel) 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.,
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