AI Engineer I

At RBC, we are guided by shared values of Client First, Integrity, Collaboration, Respect, and Excellence. We believe an inclusive workplace with diverse perspectives is core to our continued growth and success as one of the largest and most successful banks in the world. We strive to maintain a workplace where employees feel supported, can collaborate effectively, drive innovation, and grow professionally, bringing our Purpose to life and creating value for our clients and communities.

Introduction

Join RBC Capital Markets’ AI & Digital Engineering team as an AI Engineer to drive innovation in artificial intelligence and emerging technologies across global financial markets. This role involves designing and implementing scalable AI/ML solutions, mentoring teams, and influencing strategic direction.

Responsibilities

• Advanced Solution Architecture: Design and oversee the development of enterprise-grade AI/ML systems, focusing on scalability, security, and compliance. Emphasize Generative AI, NLP, and blockchain applications.
• Cross-Functional Influence: Collaborate with senior leaders, data scientists, engineers, and business units to translate complex challenges into actionable AI strategies. Mentor junior team members and foster innovation.
• Research & Innovation: Lead feasibility studies, proof-of-concepts, and R&D for emerging technologies. Evaluate and integrate cutting-edge tools, frameworks, and cloud-native solutions (AWS/GCP/Azure).
• Production Excellence: Ensure robust deployment and optimization of AI pipelines, balancing technical rigor with business impact. Champion MLOps and DevOps best practices.
• Stakeholder Engagement: Communicate technical visions and project outcomes to C-suite executives, clients, and regulators. Represent RBC at industry conferences and forums.
• Risk & Compliance: Proactively address ethical AI, data governance, and regulatory considerations in financial services.

Requirements

• Experience: Proven track record in AI/ML engineering, delivering production-scale AI solutions, ideally within finance or related industries.
• Technical Expertise:
  • Expertise in Generative AI (e.g., LLMs, diffusion models), NLP, and computer vision.
  • Proficiency in Python and experience with C/C++ or Java. Hands-on with frameworks like TensorFlow, PyTorch, or Hugging Face.
  • Blockchain knowledge (e.g., smart contracts, decentralized finance) and cloud-native AI deployment (Kubernetes, serverless).
• Strategic Thinking: Ability to align technical innovation with business outcomes and regulatory constraints. Experience influencing organizational strategy.
• Education: Advanced degree (MS/PhD) in Computer Science, AI, or a quantitative field preferred.
• Industry Insight: Strong understanding of capital markets, risk management, and financial regulations (e.g., MiFID II, Dodd-Frank).

Nice to Have

• Certifications: AWS/GCP/Azure AI certifications, CFA, or FRM a plus.

Benefits

• Comprehensive Total Rewards Program including competitive compensation and flexible benefits.
• 401(k) program with company-matching contributions.
• Health, dental, vision, life, and disability insurance.
• Paid-time off.
• Leaders who support your development through coaching and managing opportunities.
• Ability to make a difference and lasting impact.
• Work in a dynamic, collaborative, progressive, and high-performing team.
• Opportunities to do challenging work and build close relationships with clients.

About Company

At RBC, we are guided by shared values of Client First, Integrity, Collaboration, Respect, and Excellence. We believe an inclusive workplace with diverse perspectives is core to our continued growth and success as one of the largest and most successful banks in the world. We strive to maintain a workplace where employees feel supported, can collaborate effectively, drive innovation, and grow professionally, bringing our Purpose to life and creating value for our clients and communities.