RBC
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
What do you need to succeed?
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
Nice To Have:
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
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 Flexible work/life balance options Work in a dynamic, collaborative, progressive, and high-performing team Ability to make a difference and lasting impact
The Expected Salary Range For The Above Position Is $85,000 - $160,000 Depending On Factors Including But Not Limited To The Candidate’s Experience, Skills, Registration Status; Market Conditions; And Business Needs. This Salary Range Does Not Include Other Elements Of Total Compensation, Including A Discretionary Bonus And Benefits Such As A 401(K) Program With Company-Matching Contributions; Health, Dental, Vision, Life And Disability Insurance; And Paid Time-Off Plan.
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
Job Skills
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.
Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com
Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Banking and Financial Services Referrals increase your chances of interviewing at RBC by 2x Sign in to set job alerts for “Artificial Intelligence Researcher” roles.
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#J-18808-Ljbffr
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
What do you need to succeed?
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
Nice To Have:
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
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 Flexible work/life balance options Work in a dynamic, collaborative, progressive, and high-performing team Ability to make a difference and lasting impact
The Expected Salary Range For The Above Position Is $85,000 - $160,000 Depending On Factors Including But Not Limited To The Candidate’s Experience, Skills, Registration Status; Market Conditions; And Business Needs. This Salary Range Does Not Include Other Elements Of Total Compensation, Including A Discretionary Bonus And Benefits Such As A 401(K) Program With Company-Matching Contributions; Health, Dental, Vision, Life And Disability Insurance; And Paid Time-Off Plan.
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
Job Skills
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.
Join our Talent Community
Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com
Seniority level
Seniority level Not Applicable Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Banking and Financial Services Referrals increase your chances of interviewing at RBC by 2x Sign in to set job alerts for “Artificial Intelligence Researcher” roles.
Machine Learning Scientist (Staff / Sr Staff) - Power Markets
Fundamental AI Research Scientist, Computer Vision - FAIR
Head of Computer Vision and Machine Learning
Redwood City, CA $160,000.00-$220,000.00 1 year ago San Francisco, CA $205,000.00-$300,000.00 3 months ago Distinguished Research Scientist, Physics Informed AI
Advanced Data Science Associate Consultant - Generative AI and Machine Learning
Senior Research Scientist, Quantum AI, Practical Techniques
San Francisco, CA $166,000.00-$244,000.00 4 days ago Alameda, CA $116,000.00-$145,000.00 3 days ago Machine Learning Engineering Manager, Advertiser Optimization
San Francisco, CA $125,000.00-$215,000.00 5 months ago San Francisco, CA $125,000.00-$215,000.00 2 weeks ago Senior Machine Learning Engineering Manager - Pricing & Incentives
San Francisco, CA $257,000.00-$285,500.00 1 day ago Machine Learning Engineering Manager, Safeguards
San Francisco, CA $425,000.00-$560,000.00 2 weeks ago Senior Product Manager - Machine Learning Platform
San Mateo, CA $138,000.00-$245,000.00 1 week ago San Francisco, CA $120,000.00-$180,000.00 2 weeks ago Perception Software or Machine Learning Engineer
San Francisco, CA $140,670.00-$195,400.00 4 days ago Research Engineer - Machine Learning (ML)
San Francisco, CA $88,000.00-$140,000.00 1 month ago Founding Computational Scientist, AI Drug Discovery
San Francisco, CA $120,000.00-$210,000.00 3 weeks ago San Francisco, CA $100,000.00-$180,000.00 1 year ago San Francisco, CA $120,000.00-$180,000.00 6 months ago San Francisco, CA $180,000.00-$240,000.00 2 weeks ago San Francisco, CA $3,500.00-$11,500.00 2 months ago San Francisco, CA $115,000.00-$185,000.00 3 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr