Senior Manager - AI/ML Engineering

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

Job summary

A major financial institution in Toronto is seeking a skilled individual to lead the design and development of efficient ML pipelines and GenAI applications. The ideal candidate will have experience in AI/ML systems development, backend development, and MLOps environments. Strong programming skills in SQL, Node.js, and Python are essential. This full-time role offers competitive compensation and opportunities to drive innovation in a leading banking environment.

Qualifications

• 3+ years of experience in backend development, data engineering, or software engineering.
• 1+ years of experience in GenAI, machine learning, or AI-driven systems development.
• 2+ years of experience with MLOps environments.
• Strong programming skills in SQL, Node.js, and Python, with expertise in relevant libraries and frameworks.
• Experience working with big data technologies.
• Proficiency in cloud platforms and containerization technologies.
• Knowledge of database systems and data warehousing solutions.
• Excellent leadership and time management skills.

Responsibilities

• Lead the design, development, and implementation of efficient ML pipelines.
• Develop and maintain best-in-class MLOps practices.
• Collaborate with cross-functional teams for GenAI integration.
• Oversee the integration of data applications and AI/ML models.
• Ensure data quality and compliance with data governance.
• Stay current with emerging trends in AI/ML.

Skills

Big Data Management

Data Modeling

Machine Learning

Deep Learning

Programming Languages

Predictive Analytics

Relationship Building

Decision Making

Logical Data Modeling

Machine Learning Operations

Education

Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field

Tools

SQL

Node.js

Python

Apache Spark

Hadoop

Kafka

AWS

Docker

Kubernetes

Snowflake

Redshift

Job description

Job Description

What will you do?

• Lead the design, development, and implementation of efficient ML pipelines and GenAI applications, while ensuring scalable integration with backend systems.
• Develop and maintain best-in-class MLOps practices to standardize and accelerate the deployment/management of ML models.
• Develop and maintain data services on-premises and in the cloud leveraging appropriate tools & services.
• Collaborate with cross-functional teams (Data Science, Engineering, Product, and Business) to identify and prioritize use cases for GenAI integration.
• Oversee the integration of data applications and AI/ML models with existing data environments, APIs, and microservices.
• Ensure data quality, consistency, and compliance with data governance and privacy standards.
• Stay current with emerging trends in AI/ML and recommend new technologies and methodologies.
• Work closely with stakeholders to translate business requirements into technical solutions, delivering measurable impact.

What do you need to succeed?

Must-have

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
• 3+ years of experience in backend development, data engineering, or software engineering.
• 1+ years of experience in GenAI, machine learning, or AI-driven systems development.
• 2+ years of experience with MLOps environments
• Strong programming skills in SQL, Node.js, and Python, with expertise in relevant libraries and frameworks.
• Experience working with big data technologies (e.g., Apache Spark, Hadoop, Kafka).
• Proficiency in cloud platforms (AWS) and containerization technologies (Docker, Kubernetes).
• Knowledge of database systems (SQL, NoSQL) and data warehousing solutions (e.g., Snowflake, Redshift).
• Excellent leadership and time management skills, with the ability to manage multiple priorities in a fast-paced environment.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.

Nice-to-have

• Knowledge of data governance, privacy, and compliance standards (e.g., GDPR, CCPA).
• Experience in the financial services industry or a regulated environment.
• Certifications in cloud computing, data engineering, or AI/ML.

Job Skills

Big Data Management, Data Modeling, Data Science, Decision Making, Deep Learning, Logical Data Modeling, Machine Learning, Machine Learning Model Development, Machine Learning Operations, Predictive Analytics, Programming Languages, Relationship Building

Additional Job Details

Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City: Toronto

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: PERSONAL & COMMERCIAL BANKING

Job Type: Regular

Pay Type: Salaried

Posted Date: 2025-09-19

Application Deadline: 2025-10-04

Inclusion 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.