Staff Software Engineer

Job Description

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.

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

• Strong 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.

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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

Additional Job Details

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:

2026-07-31

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.

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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.