What's the opportunity?We're looking for an experienced Staff Software Engineer who will bring focus and subject‐matter expertise around designing and implementing robust, scalable AI services. This is a unique chance to grow in the world of AI engineering and work with a team of passionate individuals committed to delivering enterprise grade software solutions for our production AI services.Job DescriptionYour responsibilities include:Designing, building, and optimizing AI services that power the business' AI and ML applicationsArchitecting and implementing software best practices and standards for code quality, performance, and scalability across AI applicationsCollaborating with infrastructure engineers and machine learning researchers to ensure seamless integration, reliability, and performance of AI applications at scaleLeading technical design decisions and system architecture for AI applications and projects, including API design, data models, and integration patternsBuilding highly scalable, resilient cloud and on-premises software systems for hosting AI services using state‐of‐the‐art technologiesYou are an ideal candidate if you have:Strong and relevant experience designing and implementing distributed systems and software architectures for AI servicesProven expertise in software engineering practices, including code review, testing, design patterns, and software architectureHands‐on experience building and deploying scalable applications and services using modern frameworks and technologiesIn‐depth knowledge of containerization technologies such as Docker and Kubernetes or OpenShift Container Platform (OCP4)Experience designing and implementing APIs, event‐driven, microservices, and service‐oriented architecturesStrong proficiency in Python and GolangExperience optimizing application performance,



implementing caching strategies, and tuning distributed systemsHands‐on experience building and deploying applications across hybrid environments on‐prem and major cloud environments, such as AWS and AzureExperience designing data access layers and working with databases (both SQL and NoSQL such as MongoDB) in production environmentsUnderstanding of machine learning model serving, inference optimization, and ML system design patternsExperience designing and building infrastructure for deploying and managing agentic workflow systems and self‐hosted ML modelsExperience with observability, monitoring, and logging practices to ensure visibility into system behaviour and performanceWhat's in it for you?Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potentialA comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicableLeaders who support your development through coaching and managing opportunitiesAbility to make a difference and lasting impact from a local‐to‐global scaleAbout the AI GroupRBC's AI Group is the AI accelerator for RBC, with a focus on driving the shift from early‐stage AI projects to scaled, client outcomes that amplify the impact of RBC's people. In addition to helping scale the biggest AI opportunities at RBC,



the AI Group is responsible for advancing research into emerging use cases across generative and agentic AI, while maintaining expertise in security, responsible AI and regulatory expectations. The Business Enablement function within the AI Group partners with LOBs and Functions to set AI ambition, originate transformation opportunities, and frame programs for delivery — ensuring RBC remains at the frontier of AI‐enabled value creation.Inclusion and Equal Opportunity EmploymentRBC is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veterans status, Aboriginal/Native American status or any other legally‐protected factors. Disability‐related accommodations during the application process are available upon request.Job SkillsAgentic AI, Application Performance Management (APM), CI/CD, Domain Driven Design (DDD), Event Driven Architecture (EDA), Kubernetes, Model Deployment, Model Evaluation, Non Relational Databases, Python (Programming Language), SQL Databases, Systems ArchitectureAddressRBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOCityTorontoCountryCanadaWork hours/week37.5Employment TypeFull timePlatformJob TypeRegularPay TypeSalariedPosted Date2026-07-20Application Deadline2026-08-31Join our Talent CommunityStay 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 #J-18808-Ljbffr

📌 Staff Software Engineer (Toronto)
🏢 RBC
📍 Toronto