AI Engineer Lead

Royal Bank of CanadaNew York, NY
1d$225,000 - $300,000

About The Position

What is the opportunity? Join RBC Capital Markets’ AI & Digital Engineering team as a Senior AI Engineer and shape the strategic direction of artificial intelligence and emerging technologies. Reporting directly to the Head of AI & Digital Engineering, you’ll drive innovation across global financial markets while mentoring high-performing teams and influencing executive stakeholders. What will you do? Strategic Leadership : Define and execute the AI technology roadmap, aligning with business goals and regulatory requirements. Lead thought leadership initiatives to position RBC as an innovator in financial technology. Advanced Solution Architecture : Design and oversee the development of enterprise-grade AI/ML systems, emphasizing scalability, security, and compliance. Focus on 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 a culture of innovation. Research & Innovation : Lead feasibility studies, proof-of-concepts, and R&D efforts 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

  • Significant related experience in AI/ML engineering, including leadership or architectural roles, with a proven track record of delivering production-scale AI solutions, ideally within finance or related industries.
  • Deep 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).
  • Ability to align technical innovation with business outcomes and regulatory constraints.
  • Experience influencing organizational strategy.
  • Demonstrated ability to lead diverse teams, mentor talent, and drive cultural change.
  • Advanced degree (MS/PhD) in Computer Science, AI, or a quantitative field preferred.
  • Strong understanding of capital markets, risk management, and financial regulations (e.g., MiFID II, Dodd-Frank).

Nice To Haves

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

Responsibilities

  • Define and execute the AI technology roadmap, aligning with business goals and regulatory requirements.
  • Lead thought leadership initiatives to position RBC as an innovator in financial technology.
  • Design and oversee the development of enterprise-grade AI/ML systems, emphasizing scalability, security, and compliance.
  • Focus on Generative AI, NLP, and blockchain applications.
  • Collaborate with senior leaders, data scientists, engineers, and business units to translate complex challenges into actionable AI strategies.
  • Mentor junior team members and foster a culture of innovation.
  • Lead feasibility studies, proof-of-concepts, and R&D efforts for emerging technologies.
  • Evaluate and integrate cutting-edge tools, frameworks, and cloud-native solutions (AWS/GCP/Azure).
  • Ensure robust deployment and optimization of AI pipelines, balancing technical rigor with business impact.
  • Champion MLOps and DevOps best practices.
  • Communicate technical visions and project outcomes to C-suite executives, clients, and regulators.
  • Represent RBC at industry conferences and forums.
  • Proactively address ethical AI, data governance, and regulatory considerations in financial services.

Benefits

  • comprehensive Total Rewards Program include competitive compensation and flexible benefits, such as 401(k) program with company-matching contributions, health, dental, vision, life, disability insurance, and 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.
  • Opportunities to build close relationships with clients.
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