Staff Engineer - Data & AI Systems

Join RBC's Global Functions Technology as a Staff Engineer focused on data-driven systems and AI. This hands-on role will enhance analytics and machine learning capabilities in a culture of innovation.

As a Staff Engineer, you will play a crucial role in developing a next-generation credit risk management platform. Your expertise in backend engineering, data pipeline architecture, and AI integration will be vital in shaping innovative solutions. Collaborating closely with data scientists and business leaders, you will ensure high-quality, scalable projects that align with business goals.

Key Responsibilities:

• Design and build scalable data pipelines and analytics platforms

• Define best practices for data and ML engineering

• Collaborate with cross-functional teams on technical solutions

• Ensure project execution is timely and of high quality

• Identify risks and enforce compliance and governance standards

Requirements:

• Over 5 years in backend engineering and distributed systems

• 3+ years in data engineering with tools like Spark and Kafka

• Proficiency in Java, Python, REST APIs, and microservices

• 2+ years integrating AI/ML systems

• Bachelor's degree in a related field;
Master’s or PhD preferred

Leverage your engineering expertise to drive innovation in data and AI systems at RBC.
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