Senior Data/AI Engineer

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Senior Data/AI Engineer

senior · Technology / Software Development

Job Description

What is the opportunity?
RBC's AI Group is seeking a Senior or Staff Data/AI Engineer to join the Commercial Credit team and build the data and AI foundation that powers credit decisioning, risk modeling, and AI/agentic workflows for RBC's commercial banking clients. In this role, you will work alongside ML Developers, Researchers, and cross-functional partners to transform raw, unstructured commercial credit data into clean, reliable, governed datasets that power machine learning applications at scale. You'll design and optimize the pipelines, platforms, and storage patterns that turn complex credit data challenges into competitive advantages. This is a rare opportunity to shape a newly formed, high-impact function—setting technical direction, driving meaningful scale, and delivering solutions that directly influence how RBC serves its small business and commercial clients. If you're passionate about data and energized by the potential of AI, this is your chance to make a lasting impact.
 

What will you do?

• Design and optimize data models, feature stores, and storage patterns to ensure performance, reliability, and governance across commercial credit 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.

• Lead the design and delivery of shared data/ML platform capabilities that serve multiple downstream teams and credit use cases.

• Drive cross-functional technical initiatives, coordinating with feature providers, policy/risk teams, and client teams while maintaining system integrity.

• Ensure design and development solutions align to RBC's data and architecture strategy, with adequate technical documentation and reference material.

• Impart knowledge, mentor engineers, and set technical direction for the team on complex data/AI engineering problems.

What do you need to succeed?

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field, plus significant experience in data, ML, or AI engineering.

• Strong SQL and database fundamentals across relational and NoSQL systems.

• 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/drift detection.

• Demonstrated mastery of end-to-end ML system ownership in production environments (feature stores, model serving, data pipelines) at scale.

• Excellent communication and collaboration skills; ability to translate complex business requirements into well-architected technical solutions across product, platform, and cross-functional 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.

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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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