Applied AI Scientist

RBC; Toronto; On-site; CAD 90,000 - 120,000; Full time

Job summary

A leading financial institution in Toronto is seeking an experienced Applied AI Scientist to design knowledge graph architectures and integrate AI capabilities for wealth management. The ideal candidate will have a Master's degree and extensive experience in AI/ML, along with proficiency in Python and graph database technologies. This role includes developing innovative prototypes to enhance client experience and advisor productivity in a dynamic team environment, offering opportunities for professional growth and a strong commitment to a diverse workplace.

Benefits

Comprehensive Total Rewards Program

Flexible work/life balance options

World-class training program

Qualifications

• 4-8 years of experience in AI/ML/data science.
• Hands-on experience designing graph data models.
• Experience building proofs-of-concept and prototypes.

Responsibilities

• Design and build knowledge graph architectures.
• Lead projects integrating knowledge graphs with LLMs.
• Translate business needs into graph-based solutions.

Skills

Knowledge representation

Graph-based reasoning

Data-driven approaches

Communication skills

Python proficiency

Education

Master’s degree in computer science, AI/machine learning, or quantitative field

Tools

Neo4j

Amazon Neptune

Python libraries (NetworkX, PyTorch)

Job description

Overview

Job Description

Wealth Management Data & AI is responsible for delivering a global data foundation and innovative AI capabilities across all of Wealth Management’s global businesses.

Complementing our existing Data & AI roadmap, we’re building an applied AI lab, with a mandate to explore breakthrough AI methods and turn them into testable prototypes and capabilities to support our 6,000 wealth management professionals globally.

We are looking to hire an awesome Applied AI Scientist to help us apply knowledge graphs and graph databases to wealth advisory. You’ll use skills and research background to explore and build graph-powered prototypes that will elevate the client experience and advisor productivity—reshaping the competitive landscape of wealth advisory services globally.

Responsibilities

• Design and build knowledge graph architectures that model complex wealth relationships, enabling reasoning capabilities beyond traditional ML approaches
• Develop ontologies and graph schemas that capture nuanced domain knowledge, making expertise queryable and scalable
• Lead projects that integrate knowledge graphs with large language models (GraphRAG, knowledge-grounded generation) to deliver contextually accurate and explainable advisor tools
• Translate wealth management business needs into testable graph-based solutions, from proof-of-concept to testable prototypes
• Stay current with advances in knowledge representation, graph neural networks, and semantic technologies, incorporating them into the lab’s toolbox
• Contribute to a growing culture of innovation by experimenting boldly with high-risk, high-reward approaches

What you need to succeed

Must Have:

• Passion for solving open problems in real-world contexts using knowledge representation, graph-based reasoning, and data-driven approaches in real-world contexts
• Master’s degree (or equivalent) in computer science, AI/machine learning, quantitative psychology, or another quantitative field
• 4–8 years of experience in AI/ML/data science, including a combination of graduate training, academia, public sector, and/or industry experience
• Hands-on experience designing graph data models and working with graph databases (Neo4j, Amazon Neptune, TigerGraph) and/or knowledge graph frameworks (RDF/OWL, property graphs, SPARQL)
• Proficiency in Python and common graph libraries (NetworkX, PyG, DGL) and common ML tools (NumPy, Faker, PyTorch, TensorFlow, GitHub, Streamlit)
• Experience building proofs-of-concept and prototypes to demonstrate novel concepts in practical application contexts
• Strong communication skills and the ability to explain complex AI concepts to both technical and non-technical audiences

Nice to Have:

• Collaborative innovation experience in cross-functional teams
• Knowledge of financial services or wealth management
• Experience with cloud platforms (e.g., AWS, Snowflake) and MLOps practices
• Experience with semantic technologies, ontology engineering (Protégé, OWL, SKOS) or enterprise knowledge management
• Familiarity with graph algorithms (community detection, link prediction, graph embeddings) and their application to real-world problems
• Experience integrating knowledge graphs with LLMs—retrieval augmented generation or knowledge-grounded prompting
• Academic publications or demonstrated thought leadership in knowledge graphs, AI/ML, or related topics

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.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• 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
• A world-class training program in financial services
• Flexible work/life balance options
• Opportunities to do challenging work

#LI-Post

#TechPJ

Job Skills

Additional Job Details

Address: RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City: Toronto

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: WEALTH MANAGEMENT

Job Type: Regular

Pay Type: Salaried

Posted Date: 2026-01-27

Application Deadline: 2026-02-28

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.