AI Full Stack Builder

Job Description What is the opportunity? The Data, AI, and Research Technology (DART) team is seeking an AI Full Stack Builder - a developer and engineer who thrives at the intersection of application development and AI. This role is critical to bringing AI capabilities directly into production systems that solutions across RBC Capital Markets. You will own the complete journey from concept to deployment, building robust, scalable applications that integrate cutting-edge AI models and tools into user-facing solutions. Hybrid Schedule: In-office 4 days per week What will you do? Design and build end-to-end applications that leverage AI to solve complex business problems across full-stack development, from backend systems and APIs to frontend interfaces with a strong emphasis on AI integration and intelligent automation. Evaluate emerging AI tools and models to determine how to effectively incorporate them into applications, and manage the technical challenges of bringing AI to production at scale. Architect data flows that support AI pipelines, optimize application performance under real-world usage patterns, and ensure systems remain reliable, secure, and cost-efficient. Collaborate across teams to translate business requirements into technical implementations and provide technical leadership on how AI can enhance user experience and operational efficiency. Own the complete journey from concept to deployment, ensuring applications integrate cutting-edge AI models and tools into user-facing solutions that drive impact across the organization. What do you need to succeed? Must-have: 3 + years of professional experience ideally with exposure to AI solutions or modern AI technologies Hands-on development experience building applications across multiple layers of the technology stack with proficiency in modern programming languages (Python, JavaScript, TypeScript, Java, or similar) and frameworks for both backend and frontend development. Demonstrated experience integrating third-party APIs, services, or AI tools—including large language models, vector databases, or other AI services—into production applications, with strong foundational knowledge of databases, system architecture, API design, and cloud-based infrastructure. Experience with version control, testing practices, CI/CD pipelines, and deployment automation, plus hands-on familiarity with at least one major cloud platform (AWS, Azure, or GCP) and containerization tools such as Docker and Kubernetes. Comfort with the inherent ambiguity of AI development, including the ability to experiment with AI models and tools, evaluate their effectiveness, and make pragmatic trade-offs between accuracy, latency, and cost. Experience monitoring application performance, debugging production issues, iterating on systems based on real-world usage patterns, and writing clean, maintainable code while mentoring others on engineering best practices. Proactive and detail-oriented approach to taking ownership of complex technical challenges, moving effectively from planning to implementation to deliver working solutions within realistic timelines while working well in geographically distributed, multi-disciplinary teams. Nice-to-have: Capital Markets domain familiarity or experience in financial services, banking, or other regulated environments. Model risk or data governance exposure 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, 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 Job Skills Active Learning, Agile Methodology, Application Integrations, Detail-Oriented, Emerging Technologies, Enterprise Application Delivery, Group Problem Solving, Programming Languages, Software Development Life Cycle (SDLC) Additional Job Details Address: RBC CENTRE, 155 WELLINGTON ST W: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: 2026-08-25 Application Deadline: 2026-09-08 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 . 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.