Lead AI Engineer

RBCNew York, NY
2d$225,000 - $300,000

About The Position

Join RBC Capital Markets’ AI & Digital Engineering team as a Lead AI Engineer and play a pivotal role in reshaping the future of global financial markets through cutting-edge technology. You will work alongside top-tier engineers, data scientists, and business leaders to deliver scalable, production-ready solutions that directly impact RBC’s competitive edge while driving the adoption of AI, machine learning, and emerging technologies to solve complex business challenges and unlock new opportunities.

Requirements

  • Advanced degree (MS/PhD) in Computer Science, AI, or similar quantitative field preferred
  • 10+ years of experience designing, developing, and deploying production-scale AI/ML solutions, with a proven track record, preferably in finance or related industries
  • Fluency in Python, including development of production-grade AI/ML solutions using libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch, or Hugging Face
  • Demonstrated mastery in Generative AI (e.g., LLMs, diffusion models), NLP (e.g., transformer models), and computer vision (e.g., vision transformers)
  • Hands-on experience with blockchain platforms (e.g. Ethereum) and smart contract development for financial applications
  • Proficiency in cloud infrastructure (AWS, Azure, GCP), including serverless computing, managed services, and Kubernetes for scalable AI deployments
  • Documented success leading projects from business requirement gathering to prototype development and production deployment, ensuring alignment with strategic goals

Nice To Haves

  • Certifications: AWS/GCP/Azure AI certifications, CFA, or FRM
  • Specialized knowledge in risk management, trading workflows, or regulatory reporting (e.g., MiFID II, Dodd-Frank)

Responsibilities

  • Innovate at the forefront, leveraging cutting-edge technologies to solve real-world problems in global financial markets
  • Pioneer End-to-End solutions from prototyping to deployment, owning the full lifecycle of AI initiatives
  • Champion cross-functional collaboration by leading discussions with business stakeholders to gather requirements, refine visions, and align AI initiatives with strategic goals to translate into actionable AI strategies
  • Develop AI models to enhance blockchain use cases, such as fraud detection or automated compliance by implementing smart contracts and DLT solutions
  • Engineer systems prioritizing performance, security, and compliance to support high-volume, real-time applications.
  • Develop and deploy cloud-native AI/ML solutions using AWS, Azure, or GCP, ensuring scalability, reliability, and efficiency through Kubernetes, Docker, etc.
  • Proactively address ethical AI, data governance, and regulatory considerations in financial services.

Benefits

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
  • 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
  • Flexible work/life balance options
  • Opportunities to do challenging work
  • Opportunities to take on progressively greater accountabilities
  • Access to a variety of job opportunities across business
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