Data/AI Engineer

What's the opportunity?

Join our team as a Data/AI Engineer and play a key role in building the data foundation for AI-driven innovation. You'll transform raw, unstructured data into clean, reliable datasets that power machine learning applications. Working alongside ML Developers and Researchers, you'll design and implement data pipelines, build monitoring services, and help turn complex data challenges into competitive advantages. If you're passionate about data and excited by the potential of AI, this is your opportunity to make a real impact.

Job Description

Join our team as a Data/AI Engineer and play a key role in building the data foundation for AI-driven innovation. You'll transform raw, unstructured data into clean, reliable datasets that power machine learning applications. Working alongside ML Developers and Researchers, you'll design and implement data pipelines, build monitoring services, and help turn complex data challenges into competitive advantages. If you're passionate about data and excited by the potential of AI, this is your opportunity to make a real impact.

Your responsibilities will include:

• Design and optimize data models, feature stores, and storage patterns to ensure performance, reliability, and governance across AI workloads
• Build and maintain scalable batch and streaming data pipelines that ingest, transform, and curate high-quality datasets for AI and agentic workflows
• Implement DataOps and MLOps automation, including CI/CD pipelines, data validation, ML model deployment, monitoring, and drift detection
• Write production-quality code, conduct thorough code reviews, troubleshoot performance issues, and continuously enhance system reliability, scalability, and observability

You're our ideal candidate if you:

• Bachelor’s degree in computer science, Software Engineering, or related field, plus experience in data, software, ML, or AI engineering
• Strong SQL and database fundamentals (both relational and NoSQL)
• Proficiency in production-grade coding with strong software engineering fundamentals including version control, testing, and code review practices
• Deep expertise in data modeling, distributed systems, storage optimization, and performance tuning for large-scale AI and analytics workloads
• Solid understanding of the ML data lifecycle, including feature engineering, model integration, deployment support, and monitoring
• Excellent communication and collaboration skills with the ability to translate complex business requirements into well-architected technical solutions; proven ability to work effectively across product, platform, and cross-functional engineering teams

What's in it for you:

• Lead AI transformation at one of Canada's largest and most respected financial institutions, with direct visibility to Group Head and Operating Committee level leadership at RBC
• Shape the mandate and culture of a newly formed, high-impact function within RBC's AI Group
• 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 the AI Group:

RBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early-stage AI projects to scaled, client outcomes that amplify the impact of RBC's people. In addition to helping scale the biggest AI opportunities at RBC, the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery — ensuring RBC remains at the frontier of AI-enabled value creation.

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 Analytics, Critical Thinking, Decision Making, Industry Knowledge, Machine Learning (ML), Software Engineering, Software Product Design

Additional Job Details

• Address: 401 GEORGIA ST W:VANCOUVER
• City: Vancouver
• Country: Canada
• Work hours/week: 37.5
• Employment Type: Full time
• Platform: TECHNOLOGY AND OPERATIONS
• Job Type: Regular
• Pay Type: Salaried
• Posted Date: 2026-07-22
• Application Deadline: 2026-08-21

Note

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

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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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