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 opportunity 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 Description Your responsibilities include:
Designing, building, and optimizing AI services that power the business’ AI and ML applications
Architecting and implementing software best practices and standards for code quality, performance, and scalability across AI applications
Collaborating with infrastructure engineers and machine learning researchers to ensure seamless integration, reliability, and performance of AI applications at scale
Leading technical design decisions and system architecture for AI applications and projects, including API design, data models, and integration patterns
Building highly scalable, resilient cloud and on-premises software systems for hosting AI services using state‑of‑the‑art technologies
You are an ideal candidate if you have:
Strong and relevant experience designing and implementing distributed systems and software architectures for AI services
Proven expertise in software engineering practices, including code review, testing, design patterns, and software architecture
Hands‑on experience building and deploying scalable applications and services using modern frameworks and technologies
In‑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 architectures
Robust proficiency in Python and Golang
Experience optimizing application performance,
implementing caching strategies, and tuning distributed systems
Hands‑on experience building and deploying applications across hybrid environments on‑prem and major cloud environments, such as AWS and Azure
Experience designing data access layers and working with databases (both SQL and NoSQL such as MongoDB) in production environments
Understanding of machine learning model serving, inference optimization, and ML system design patterns
Experience designing and building infrastructure for deploying and managing agentic workflow systems and self‑hosted ML models
Experience with observability, monitoring, and logging practices to ensure visibility into system behaviour and performance
What's in it for you?
Become part of a team that thinks progressively and works collaboratively. We care about seeing each other reach full potential
A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock options where applicable
Leaders who support your development through coaching and managing opportunities
Ability to make a difference and lasting impact from a local‑to‑global scale
About the AI Group RBC'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 Employment RBC 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 Skills Agentic 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 Architecture
Address RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
City Toronto
Country Canada
Work hours/week 37.5
Employment Type Full time
Platform Job Type Regular
Pay Type Salaried
Posted Date 2026-07-20
Application Deadline 2026-08-31
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📌 Staff Software Engineer (Winnipeg)
🏢 RBC
📍 Winnipeg