Job DescriptionWhat will you do?- 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.
What do you need to succeed?- Experience: Experience in AI/ML engineering with a proven track record of 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.
- 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:- A 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.
The expected salary range for this particular position is $110,000 - $135,000, depending on your experience, skills, and registration status, market conditions and business needs.
You have the potential to earn more through RBC's discretionary variable compensation program which gives you an opportunity to increase your total compensation, provided the business meets its performance targets and you meet your individual goals.
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Job SkillsBig Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages
Additional Job DetailsAddress:BROOKFIELD PLACE FKA 3 WORLD FINANCIAL CENTER, 200 VESEY STREET:NEW YORK
City:New York
Country:United States of America
Work hours/week:40
Employment Type:Full time
Platform:CAPITAL MARKETS
Job Type:Regular
Pay Type:Salaried
Posted Date:2026-06-26
Application Deadline:2026-07-03
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
