Job Description
What is the opportunity
RBC Corporate Real Estate (CRE) is building a modern, data-driven workplace where AI supports better decisions across space, lease, occupancy, and cost management. Our goal is to move beyond static reports to intelligent systems that can analyze CRE data, reason across multiple sources, generate insights, and recommend actions for leaders and employees.
As an intern, you will have a chance to work at the intersection of advanced analytics, and agentic AI, helping design intelligent agents that sit on top of trusted CRE reports and datasets—turning reports into insights and insights into decisions.
You’ll work in a practical innovative environment where you can take ideas from “concept” to working proof-of-value with real stakeholders, real constraints (privacy, governance), and real impact. This role offers hands-on exposure to CRE data, executive use cases, and RBC’s approach to responsible, governed AI innovation.
What you will do
Build agentic AI prototypes that can plan tasks, call tools, and generate explanations, insights, and recommendations (e.g., “Why did occupancy costs increase?” or “Which buildings have underutilized space?”)
Design and test agentic/GenAI workflows for CRE use cases
Work with structured CRE data to define agent inputs/outputs and ensure answers are grounded, auditable, and reproducible
Build evaluation and quality checks to validate agent responses against BI metrics and known sources of truth
Support analytics development including – data validation, defining and documenting metrics, translating business questions into analytical designs
Develop prompt/tool schemas and guardrails to ensure safe, accurate, policy-aligned outputs
Document and communicate findings through clear write-ups/business cases and lightweight demos for CRE stakeholders
Continuously learn and keep up with the latest advancements in AI and related technologies and sharing that knowledge with the team
What you need to succeed
Must Have
Hands-on experience with Python (data handling, APIs, building prototypes)
Strong understanding and working knowledge of Machine Learning and Deep Learning algorithms
Strong understanding and working knowledge of LLMs and GenAI concepts, including prompt engineering, retrieval (RAG), function/tool calling, and structured outputs, prototyping GenAI applications, and vector databases (Weaviate,pgvector)
Familiarity with agentic patterns and implementation (planning + execution, multi-step reasoning, tool orchestration) and a desire to experiment and learn quickly
Ability to translate ambiguous business problems into technical approaches, and communicate trade-offs clearly
Strong analytics fundamentals, including: SQL proficiency
Understanding of KPIs, metrics, and variance analysis
Experience working with structured enterprise data
Data Modeling
Curiosity, ownership, and comfort working with real-world constraints (data quality, security, stakeholder needs)
Strong logical thinking skills and attention to detail
Strong communication skills and comfort working with ambiguity
Nice to Have
Working knowledge of embedding model fine-tunings and Model Context Protocol (MCP), LLM performance evaluation
Experience with agent frameworks (e.g., LangGraph/LangChain, Semantic Kernel, LlamaIndex) or building multi-agent systems
Knowledge of cloud data platforms (Snowflake, Databricks, DataIku)
Interest in Corporate Real Estate domains (space, occupancy, workplace experience, leasing, cost drivers)
UI prototyping experience (simple web apps, dashboards, Streamlit, or similar)
Familiarity with dashboard storytelling and executive-level insight presentation
What’s in it for you
A chance to work on real agentic and GenAI initiatives inside a renowned enterprise, where your work can influence how leaders make CRE decisions
Hands-on experience combining BI, analytics, and AI—highly coveted marketable skill set
Exposure to enterprise-scale CRE data and how analytics supports executive decision-making at RBC
Exposure to end-to-end delivery: use case definition → data grounding → AI design → evaluation → demo/storytelling
Mentorship from a team focused on AI strategy, BI, data governance, and practical product outcomes in the CRE domain
The opportunity to help shape intelligent reports and AI agents used by real business stakeholders
Gain firsthand insight into RBC’s approach to responsible AI, security, and governance within production-driven innovation
Please note: This posting is for a 4-months Summer 2026 Student placement with a start date of May 2026, and end date of August 2026. In order to be eligible for this 4-months Student position, you must either:
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 January 16, 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.
ET26
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Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Inclusion and Equal Opportunity Employment
At 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.