AI Engineer

Royal Bank of Canada>; Toronto; On-site; CAD 80,000 - 110,000; Full time

Job summary

A major financial institution is hiring a Machine Learning Engineer to develop Generative AI applications. The ideal candidate will have a strong background in building AI agents and software engineering. The role involves developing AI solutions, managing data pipelines, and collaborating with cross-functional teams. Offering competitive compensation and opportunities for career growth, this position is based in Toronto and emphasizes work-life balance.

Benefits

Comprehensive Total Rewards Program

World-class training program

Flexible work / life balance options

Qualifications

• 1-2 years of experience in machine learning focused on generative model development.
• Experience in building AI agents and real-world application integration.
• Strong analytical, problem-solving and communication skills.

Responsibilities

• Build and deploy AI agents for task automation and user interaction.
• Implement and maintain generative AI models.
• Construct and manage data pipelines for training generative models.

Skills

Big Data Management

Data Mining

Data Science

Deep Learning

Machine Learning

Predictive Analytics

Programming Languages

Education

BS / MS / PhD in Computer Science, Artificial Intelligence, Data Science, or related field

Tools

Python

PySpark

Databricks

Azure

Job description

Job Description

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 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 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 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.

Qualifications

• BS / MS / PhD in Computer Science, Artificial Intelligence, Data Science, or a related technical field.
• 1-2 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.
• 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?

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

Opportunities to take on progressively greater accountabilities

Access to a variety of job opportunities across business and geographies

#LI-POST

Job Skills

• Big Data Management
• Data Mining
• Data Science
• Deep Learning
• Machine Learning
• Predictive Analytics
• Programming Languages

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: CAPITAL MARKETS

Job Type: Regular

Pay Type: Salaried

Posted Date: 2025-10-16

Application Deadline: 2025-12-13

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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