Associate Director, AI Engineer

RBC; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading financial institution in Toronto is seeking a proficient Machine Learning Engineer with expertise in developing Generative AI applications. The ideal candidate will possess strong software engineering skills and a background in building AI agents. Responsibilities include leading the development of AI applications, managing data pipelines, and collaborating with cloud platforms like Databricks and Azure. This full-time position offers competitive compensation and a dynamic work environment.

Benefits

Comprehensive Total Rewards Program

Leadership support for development

Dynamic and collaborative team

World-class training program

Flexible work/life balance

Opportunities for challenging work

Qualifications

• 3+ years of experience in machine learning with focus on generative models.
• Hands-on experience in building AI agents.
• Strong software engineering skills.

Responsibilities

• Lead the design and development of Generative AI applications.
• Build and deploy AI agents autonomously.
• Implement, fine-tune, and maintain generative AI models.
• Construct data pipelines for training and evaluating models.
• Collaborate with cloud platforms for model training and deployment.

Skills

Machine learning expertise

Generative AI applications

Python/PySpark programming

Cloud platforms (Databricks, Azure)

MLOps best practices

Analytical skills

Problem-solving

Effective communication

Education

BS/MS/PhD in Computer Science or related field

Tools

Docker

Kubernetes

Git

Job description

Overview

Capital Markets Quantitative & Technology Services - Data AI and Research Technology (DART) team is hiring for a proficient Machine Learning Engineer with expertise in developing Generative AI applications. The ideal candidate will have experience in building AI agents and strong software engineering skills, with a focus on pushing the boundaries of AI and advanced text generation while building efficient, scalable systems.

Responsibilities

• Lead the design and development of state-of-the-art Generative AI applications, leveraging modern machine learning techniques.
• Build and deploy AI agents that can autonomously perform tasks and interact with users or systems.
• Implement, fine-tune, and maintain generative AI models, adapting them to fit our specific problem domains.
• Construct and manage high-quality data pipelines for training, evaluating, and deploying generative models, ensuring data integrity and efficiency.
• Collaborate with cloud platforms like Databricks and Azure to train and deploy generative models using robust computing and storage capabilities.
• Maintain up-to-date knowledge of the latest NLP and generative model research, applying insights to improve our AI systems.
• Develop monitoring and evaluation tools to assess model performance and ensure alignment with business goals and user needs.
• Optimize model performance considering computational efficiency, latency, and accuracy.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems and pipelines.
• Document and present model development processes, findings, and results to technical and non-technical stakeholders.

Qualifications

• BS/MS/PhD in Computer Science, Artificial Intelligence, Data Science, or related technical field.
• 3+ years of experience in machine learning with a focus on generative model development and deployment.
• Hands-on experience in building AI agents and integrating them into real-world applications.
• Strong software engineering skills, including proficiency in programming languages such as Python/PySpark.
• Experience with cloud platforms like Databricks and Azure, including their ML ecosystems.
• Knowledge of MLOps best practices, including CI/CD and automated ML pipelines.
• Familiarity with DevOps tools, automation scripts, containerization (Docker, Kubernetes), and version control (Git).
• Strong analytical and problem-solving skills, with effective communication and collaboration abilities.

Nice to have

• Applied experience with model serving technologies and platforms for real-time inference at scale.

Benefits

• 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
• 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
• Opportunities to take on progressively greater accountabilities
• Access to a variety of job opportunities across business and geographies

Job Details

• Address: RBC Centre, 155 Wellington St W, Toronto
• City: Toronto
• Country: Canada
• Work hours/week: 37.5
• Employment Type: Full time
• Platform: Capital Markets
• Job Type: Regular
• Pay Type: Salaried
• Posted Date: 2025-10-16
• Application Deadline: 2025-10-31

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 with diverse perspectives is core to our growth. We strive to foster a workplace based on respect, belonging, and opportunity for all.