Job Description What is the opportunity? The Lead, Full Stack Engineer is a hands-on leadership role within AI Engineering, US Functions Technology – Finance, Risk, Law, and Audit. You will build and inspire a team that delivers scalable, production-ready solutions. You will lead modernizing .NET applications, bring AI and agentic tools into everyday engineering, and drive CNB US Functions technology into the RBC Enterprise ecosystem, owning every modernization solution from concept to production. You will work at the core of data, APIs, and web services, delivering secure, high-impact integration across SSO, security, and messaging through Kafka or MQ. You will drive and lead the integration of CNB entities, working with teams to ensure seamless business adoption. You will also apply cutting-edge technologies to solve real-world problems across US Corporate Functions, including Finance, Risk, Law, and Audit. What will you do? Innovate at the forefront, applying cutting-edge technologies, including AI and agentic tools, to solve real-world problems across US Corporate Functions, including Finance, Risk, Law, and Audit Drive the migration of .NET applications from on-premises to Azure, designing and building hybrid solutions that remain reliable, secure, and scalable across both environments Provide hands-on development and management of application integration plans, incorporating AI solutions where they add value, from conception through production deployment, with committed delivery timelines. Drive solution architecture and design for APIs, web services, SSO and security, and messaging (Kafka or MQ), with a focus on performance, security, and compliance Build and maintain back-end APIs and web services, delivering heavy integration work across SSO and security, and messaging through Kafka or MQ. Drive and lead the integration of CNB entities, ensuring seamless business adoption of target solutions in collaboration with Target Tech teams Consolidate applications from CNB Finance & Audit Tech to Target RBC Common Platform through strategic alignment with business stakeholders Carry out substantial data work, including scripting (Python) and data pipeline development Lead, mentor, and grow a team of engineers setting technical direction and quality standards. Maintain a working understanding of enterprise operations, including shared services, Splunk, Elastic, and performance monitoring 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 and deploy cloud-native AI/ML solutions using AWS, Azure, or GCP, ensuring scalability, reliability, and efficiency through Kubernetes, Docker, etc. What do you need to succeed? 7+ years leading an engineering team, staying hands-on and stepping in to unblock delivery when needed Software engineering background with at least one of the following languages: .NET, Java, or Python Solid experience building and integrating APIs and web services across SSO, security, and messaging through Kafka or MQ, with the ability to drive architecture and design decisions focused on performance, security, and compliance Proven experience migrating applications from on-premises to cloud platforms (Azure, AWS, or GCP) and designing and running hybrid solutions across both environments Skilled at translating business requirements into technical roadmaps, and identify AI-driven transformation opportunities aligned with enterprise strategy Strong data skills, including experience with ETL, data orchestration, Python scripting, or building data pipelines Experience developing and deploying cloud-native solutions using Kubernetes and Docker, with exposure to AI or ML solutions in production Experience delivering integration plans to committed timelines, including managing architecture changes Ability to partner with enterprise and business stakeholders, gather requirements, and align technical work with strategic goals Nice to have: Experience scaling and deploying AI applications in cloud environments with model optimization, latency reduction, and performance monitoring Experience with Retrieval-Augmented Generation (RAG) systems and vector databases for knowledge retrieval Solid foundation in prompt engineering and AI based SDLC (Claude, GitHub Copilot) Familiarity with Python and AI frameworks (LangChain, AutoGen, CrewAI) Understanding of AI agent architectures, autonomous decision-making systems, and multi-agent collaboration frameworks 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. Opportunities to do challenging work #LI-POST #TECHPJ Job Skills Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis Additional Job Details Address: 745 THURLOW ST:VANCOUVER City: Vancouver Country: Canada Work hours/week: 37.5 Employment Type: Full time Platform: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2026-11-06 Application Deadline: 2026-11-26 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. Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 84,000+ employees who bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to more than 16 million clients in Canada, the U.S. and 34 other countries. Learn more at rbc.com.‎ We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/community-social-impact.

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