Job Description What is the opportunity? RBC Capital Markets is seeking an Associate Director, AI Engineer with deep expertise in Generative AI, neural networks, and transfer learning to support Sales teams with cutting-edge AI-powered solutions. You will lead the design and development of intelligent systems that enhance client engagement, deal intelligence, and sales productivity across Capital Markets. The Capital Markets Data AI and Research Technology (DART) team is looking for a hands-on AI Engineer to drive Generative AI initiatives that empower our Sales organization. You will build and deploy AI solutions that give sales professionals real-time insights, automate routine tasks, and enable them to focus on client relationships and closing deals. What will you do? Design and build agentic frameworks that solve critical sales use cases including client intelligence gathering, pitch content generation, deal summarization, and real-time conversation analysis Develop conversational AI systems that assist sales professionals in client interactions and help synthesize client intelligence across multiple data sources Embed Generative AI tools into Sales platforms, enabling seamless workflows for prospect research, proposal generation, and deal tracking Architect end-to-end AI solutions covering experimentation, model evaluation, and production monitoring to ensure sales tools perform reliably at scale Guide the team on best practices, conduct code reviews, and mentor team members on Generative AI implementation In this role, you will communicate and interact frequently with RBC partners and/or employees located across Canada and/or worldwide What do you need to succeed? Must-have A PhD or Master's degree in Computer Science, Machine Learning, Deep Learning, or equivalent hands-on experience. Five or more years building Deep Learning or Machine Learning models in production environments. Advanced proficiency in Python and hands-on experience with Generative AI frameworks and architectures. Deep knowledge of retrieval-augmented generation (RAG), agentic frameworks, context and memory management, and tool/skills integration patterns. Strong understanding of large language model architectures, inference, fine-tuning, and model deployment. Experience with Anthropic models and Claude, including code generation capabilities. In-depth knowledge of embeddings, re-rankers, and vector databases. Expertise in ML experimentation, model evaluation, and monitoring in production. Strong foundation in algorithms, data structures, and distributed computing. Understanding of sales workflows, client intelligence use cases, or familiarity with how sales teams operate. Embrace of AI-first approach: Actively incorporates AI tools and technologies into daily workflows to enhance productivity, streamline routine tasks, and drive efficiency. Demonstrates curiosity about emerging AI capabilities and applies them thoughtfully to deliver better outcomes for clients and internal stakeholders. 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 stock where applicable. Leaders who support your development through coaching and meaningful opportunities for growth. The ability to make a lasting impact on how our Sales teams compete and win business at scale. Work in a dynamic, collaborative, and high-performing team tackling some of the most challenging AI problems in financial services sales. A world-class training program in financial services and AI best practices. Flexible work/life balance options and progressive career opportunities across RBC. Access to challenging work and the chance to build close relationships with Sales leadership and clients. #LI-POST Job Skills Active Learning, Agile Methodology, AI Agents, AI Frameworks, AI Systems, Application Integrations, Business, Detail-Oriented, Emerging Technologies, Enterprise Application Delivery, Group Problem Solving, Machine Learning (ML), Programming Languages, Python (Programming Language), Responsible AI, Retrieval-Augmented Generation, Software Development Life Cycle (SDLC), Solution Architecture Additional Job Details Address: 1 PLACE VILLE MARIE:MONTRÉAL City: Montréal Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: CAPITAL MARKETS Job Type: Regular Pay Type: Salaried Posted Date: 2026-04-23 Application Deadline: 2026-08-15 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all. Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com. 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.