AI Engineer

RBC; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading financial institution in Toronto is seeking a proficient Machine Learning Engineer to develop and deploy Generative AI applications. Candidates must possess strong software engineering skills and have experience in building AI agents. The role offers competitive compensation, a comprehensive rewards program, and opportunities for career development in a collaborative environment.

Benefits

Comprehensive Total Rewards Program

Flexible work/life balance options

Access to a variety of job opportunities

Qualifications

• 1-2 years of experience in machine learning focused on generative models.
• Hands-on experience in building AI agents and integrating into applications.
• Strong analytical and problem-solving skills.

Responsibilities

• Build and deploy AI agents to autonomously perform tasks.
• Implement and maintain generative AI models.
• Construct and manage data pipelines for generative models.

Skills

Machine Learning

Generative AI

Software Engineering

Python

Problem Solving

Communication

Education

BS/MS/PhD in Computer Science, AI, Data Science

Tools

Databricks

Azure

Job description

Job Description

What is the opportunity?

Capital Markets Quantitative & Technology Services - Data AI and Research Technology (DART) team is hiring searching for a proficient Machine Learning Engineer with expertise in developing Generative AI applications. The ideal candidate will also have experience in building AI agents and possess strong software engineering skills. If you are passionate about pushing the boundaries of AI and advanced text generation, and you thrive in building efficient, scalable systems, we invite you to apply.

What will you do?

• 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, while ensuring data integrity and efficiency.
• Engage with cloud platforms like Databricks and Azure to efficiently train and deploy generative models, utilizing their robust computing and storage capabilities.
• Maintain up-to-date knowledge of the latest research in NLP and generative models, applying this knowledge to continually improve our AI systems.
• Develop monitoring and evaluation tools to assess the performance of generative models and ensure they align with business goals and user needs.
• Optimize model performance considering factors like 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.

What do you need to succeed?

Must have:

• BS/MS/PhD in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
• 1-2 years of professional or academic 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.
• Strong analytical and problem‑solving skills, combined with effective communication and collaboration abilities.

Nice to have:

• Hands‑on experience with cloud computing platforms like Databricks and Azure, including their machine learning ecosystems.
• Knowledge of best practices in MLOps, including continuous integration, continuous deployment, and automated machine learning pipelines.

What’s in it for you?

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

Applications will be accepted until 11:59 PM on the day prior to the application deadline date above.

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.

Inclusion and Equal Opportunity Employment

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