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AI Engineer Lead

Job in Toronto, Ontario, M5A, Canada
Listing for: 0000050007 Royal Bank of Canada
Full Time position
Listed on 2026-01-13
Job specializations:
  • IT/Tech
    AI Engineer, Machine Learning/ ML Engineer, Data Science Manager, Data Scientist
Job Description & How to Apply Below

Job Description

What is the opportunity?
Join RBC Capital Markets’ AI & Digital Engineering team as an AI Engineer Lead 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 Dev Ops 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.
  • What do you need to succeed?
  • Experience
    :
    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.
  • Technical Expertise
    :

    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 Tensor Flow, 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.
  • Leadership & Mentorship
    :
    Demonstrated ability to lead diverse teams, mentor talent, and drive cultural change.
  • Education
    :
    Advanced degree (MS/PhD) in Computer Science, AI, or a quantitative field preferred.
  • Certifications
    : AWS/GCP/Azure AI certifications, CFA, or FRM a plus.
  • Industry Insight
    :
    Strong understanding of capital markets, risk management, and financial regulations (e.g., MiFID II, Dodd-Frank).
  • What's in it for you:We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
  • A comprehensive Total Rewards Program, including bonuses and flexible benefits, competitive compensation, and opportunities for growth and development

  • Leaders who support your development through coaching and managing opportunities

  • The chance to work with a dynamic and collaborative team, and make a lasting impact on the organization

  • Opportunities for professional growth and development, including training and education programs

  • A flexible work environment

  • #LI-POST#TECHPJ
    Job Skills
    Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages
    Additional Job Details

    Address:

    ROYAL BANK PLAZA, 200 BAY ST:

    TORONTO

    City:

    Toronto

    Country:

    Canada

    Work hours/week:

    37.5

    Employment Type:

    Full time

    Platform:

    CAPITAL MARKETS

    Job Type:

    Regular

    Pay Type:

    Salaried

    Posted Date:

    Final date to receive applications:

    Note: Applications will be accepted until 11:59 PM on the day…
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