AI Policy Intern — Risk & ML Prototyping

0000050007 Royal Bank of Canada; Toronto; On-site; CAD 8,000 - 12,000; Full time

Job summary

Royal Bank of Canada (RBC) is offering a Winter 2027 Student placement with the GRM - MCCR Policy team. This four-month co‑op will explore AI policy development through AI/ML prototyping, traditional ML, and deep analytical exploration, blending business needs with cutting-edge technology.

You will collaborate to translate business questions into analyses, prototype LLMs and MCP integrations, and communicate insights to stakeholders.

Qualifications

• Hands-on experience with LLMs, prompt engineering, and generative AI applications.
• Strong problem-solving and ability to translate business questions into analyses.
• Excellent communication to explain complex concepts to stakeholders.
• Self-directed learner with curiosity about AI/ML technologies.

Responsibilities

• Collaborate with team to translate problems into analytical approaches.
• Prototype and experiment with AI technologies including LLMs, generative AI, and MCP.
• Conduct deep-dive analyses to uncover patterns and insights for actionable outcomes.
• Assist in automating business workflows and processes.

Skills

LLMs

Prompt engineering

Generative AI

Python

Data analysis

Communication

Problem solving

Education

Quantitative field degree

Tools

Python

API integration / MCP

Job description

Royal Bank of Canada (RBC) is offering a Winter 2027 Student placement with the GRM - MCCR Policy team. This four-month co‑op will explore AI policy development through AI/ML prototyping, traditional ML, and deep analytical exploration, blending business needs with cutting-edge technology.

You will collaborate to translate business questions into analyses, prototype LLMs and MCP integrations, and communicate insights to stakeholders.