Data/AI Engineering Team Lead

Data/AI Engineering Team Lead

We are seeking a Data/AI Engineering Team Lead to deliver data-driven and AI-powered business solutions within Personal and Commercial Banking. You will work closely with business stakeholders, product teams, architects, and technology partners to solve complex business challenges through innovative use of data, software, automation, and AI. This role combines people leadership, solution delivery, and technical oversight across the full solution lifecycle from concept through production. You will help accelerate enterprise adoption of AI capabilities that improve client experiences, increase operational efficiency, and drive business growth. This is an opportunity to lead high-impact initiatives while developing and mentoring a team of talented engineers.

Responsibilities

• Lead the technical design and delivery of data and AI solutions while providing day-to-day guidance and mentorship to a team of engineers.
• Collaborate with business stakeholders, product teams, and architects to translate business requirements into scalable, secure, and production-ready solutions.
• Design and develop data pipelines, APIs, integrations, AI-powered applications, and workflow automation capabilities that deliver measurable business value.
• Champion engineering best practices across software development, DataOps, AIOps, CI/CD, testing, observability, and Site Reliability Engineering (SRE) to improve solution quality and reliability.
• Contribute hands‑on to solution development, code reviews, troubleshooting, production support, and technical decision-making while helping grow the technical capabilities of the team.

Ideal Candidate

• Bachelor's or Master's degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
• 7+ years of experience delivering enterprise software, data, integration, or AI solutions, including 2+ years leading engineering teams.
• Strong software engineering expertise with hands‑on experience in Python and at least one of Java or Scala for building production-grade applications and services.
• Experience designing and implementing data pipelines, APIs, event-driven architectures, workflow orchestration, and distributed systems using technologies such as Snowflake, Spark, Airflow, Kafka, OpenShift, and AWS.
• Proven experience implementing DataOps, AIOps, and DevOps practices, including CI/CD, infrastructure automation, observability, data quality controls, monitoring, and governance.
• Strong communication and stakeholder management skills, with the ability to translate business requirements into scalable, secure, and reliable technology solutions.

Benefits

• Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential.
• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable.
• Leaders who support your development through coaching and managing opportunities.
• Ability to make a difference and lasting impact from a local-to-global scale.

About RBC Borealis

RBC Borealis is the driving force behind Royal Bank of Canada’s AI and data innovation. As part of Canada’s largest financial institution, we bring together a team of architects, engineers, scientists, and product experts on a mission to revolutionize finance through world-class research, solutions, and a resilient data platform. With locations across Toronto, Waterloo, Montreal, Calgary, and Vancouver, we’re at the forefront of AI research and platform development. With a focus on cutting‑edge research in areas like time series forecasting, causal machine learning, and responsible AI, we are seamlessly integrating AI research and data engineering, to solve critical challenges in the financial industry. We are building intelligent, and scalable, data‑driven solutions that will help communities thrive and drive innovation for our customers across the bank.

Inclusion and Equal Opportunity Employment

RBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally-protected factors. Disability-related accommodations during the application process are available upon request.

Job Skills

• Big Data Management
• Cloud Computing
• Database Development
• Data Mining
• Data Warehousing (DW)
• ETL Processing
• Group Problem Solving
• Quality Management
• Requirements Analysis

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: TECHNOLOGY AND OPERATIONS
• Job Type: Regular
• Pay Type: Salaried
• Posted Date: 2026-06-19
• Application Deadline: 2026-07-17

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