Data​/AI Engineering Lead at RBC Borealis

Join RBC Borealis as a Data/AI Engineering Lead to innovate AI applications in banking. Focus on advanced data pipelines and ML engineering to drive impactful solutions.
In this role, you will design, implement, and maintain robust data and ML pipelines that enhance customer experiences in Personal and Commercial Banking. Collaborate closely with cross-functional teams to develop production-grade AI systems that are secure and comply with industry standards. Your contributions will create a strong foundation for AI workflow automation and data integrity.

Key Responsibilities:

• Maintain scalable data pipelines for AI and agentic workflows

• Automate processes using data-ops and MLOps methodologies

• Create LLM-enabled APIs and RAG systems for secure environments

• Optimize data models for performance and reliability

• Conduct code reviews and maintain system observability
Requirements:

• Master’s degree in Computer Science or related field

• Over 5 years in data, software, or AI engineering

• Skilled in Python, Java, SQL, and Spark

• Experienced in integrating AI-powered systems

• Deep understanding of the ML data lifecycle and performance tuning
Drive AI innovation that transforms banking experiences at RBC Borealis.
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