Join to apply for the AI Scientist role at RBC
Join to apply for the AI Scientist role at RBC
What is the opportunity?
Capital Markets
Job Description
What is the opportunity?
Capital Markets Data AI and Research Technology (DART) team is seeking a hands-on AI Scientist to lead our AI research efforts and build intelligent systems that power research digitization, banking workflows, global markets, and monetization pipelines. You'll be at the forefront of developing and productionalizing GenAI solutions for capital markets use cases.
What will you do?
- Research, design, and build end-to-end GenAI-driven systems that integrate with capital markets workflows
- Develop and productionize intelligent agents (RAG and multi-modal) leveraging enterprise data to support Research, Banking, Sales, etc.
- Build production-ready APIs and services backed by large language models (LLMs) and semantic search capabilities
- Implement Kubernetes-deployed MCP servers using FastAPI, supporting dynamic routing, prompt orchestration, and multi-source data access
- Manage AI Ops and MLOps pipelines for Generative AI systems, including CI/CD automation and containerized deployments
- Expected to code 90%+ of the time, collaborating with platform teams and business stakeholders
Must Have:
- Degree in Computer Science, Machine Learning, Deep Learning or equivalent experience
- 4+ years of experience building AI/ML systems with in-depth knowledge of Machine Learning, deep learning and Generative AI
- In-depth knowledge of LLM architectures, NLP, embeddings, re-rankers, and agentic frameworks
- Strong backend development skills in Python, FastAPI, and async programming
- Solid hands-on experience with Kubernetes, Docker, and API deployment at scale
- Knowledge of CI/CD pipelines, testing, and infrastructure automation for AI applications
- Experience implementing GenAI systems into production
- Familiarity with model orchestration frameworks (LangChain, LlamaIndex, or similar)
- Experience with model evals, model monitoring, and MLflow
- Knowledge of alternative financial data sources and their AI applications
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
- Flexible work/life balance options
- Work in a dynamic, collaborative, progressive, and high-performing team
- Ability to make a difference and lasting impact
Rbc’s Compensation Philosophy And Principles Recognize The Importance Of A Highly Qualified Global Workforce And Plays A Critical Role In Attracting, Engaging And Retaining Talent That:
- Drives Rbc’s High Performance Culture
- Enables Collective Achievement Of Our Strategic Goals
- Generates Sustainable Shareholder Returns And Above Market Shareholder Value
Application Programming Interface (API), Big Data Management, Cloud Platform, Databricks Platform, Data Mining, Data Science, Deep Learning, DevOps, Docker (Software), Kubernetes, Language Models, Large Language Models (LLMs), Machine Learning, Microsoft Azure, MLflow, Predictive Analytics, Programming Languages, PySpark, Python (Programming Language), Structured Query Language (SQL)
Additional Job Details
Address:
TWO EMBARCADERO CENTRE, 2 EMBARCADERO CENTER:SAN FRANCISCO
City:
San Francisco
Country:
United States of America
Work hours/week:
40
Employment Type:
Full time
Platform:
CAPITAL MARKETS
Job Type:
Regular
Pay Type:
Salaried
Posted Date:
2025-08-07
Application Deadline:
2025-08-31
Note : Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
I nclusion 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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Seniority level
Seniority level
Not Applicable
Employment type
Employment type
Full-time
Job function
Job function
Engineering and Information TechnologyIndustries
Banking and Financial Services
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