Summary
Provide technical leadership for enterprise-scale AI services and build secure, resilient systems that support high-volume production workloads. You will define architectural strategy, design distributed and event-driven platforms, optimize performance, guide engineering standards, and mentor technical talent. This role is ideal for an experienced engineer with deep expertise in cloud, containers, data architecture, ML systems, and large-scale software design.
Highlights
Strategic technical leadership role with opportunities to shape enterprise AI architecture, mentor engineers, drive innovation, and receive competitive compensation, bonuses, benefits, and development support.
Description
Job Description
We're looking for a visionary Senior Software Engineer to provide strategic technical leadership and deep subject-matter expertise in designing and implementing enterprise-scale AI services.
This is an exceptional opportunity to shape the future of AI engineering at RBC, mentoring a team of talented engineers while driving architectural excellence and innovation across our production AI infrastructure.
Your responsibilities include:
Defining technical vision and strategy for AI services architecture, ensuring alignment with business objectives and enterprise standardsDesigning, building, and optimizing mission-critical AI services that power the organization's most strategic AI and ML applicationsEstablishing and evangelizing software best practices, architectural patterns, and quality standards across AI engineering teamsLeading complex technical design decisions and enterprise-scale system architecture for AI platforms, including API frameworks, data governance models, and integration patternsCollaborating cross-functionally with infrastructure, platform, and ML teams to architect seamless, reliable, and performant AI systems at scaleMentoring and developing junior and staff engineers, fostering a culture of technical excellence and continuous learningBuilding highly scalable, resilient, and secure cloud and on-premise software systems for hosting AI services using cutting-edge technologiesDriving technical innovation and evaluating emerging technologies to maintain competitive advantage
You're our ideal candidate if you have:
5+ years of software engineering experience, with significant expertise designing and implementing distributed systems and AI service architecturesProven track record architecting and delivering large-scale, production systems serving millions of transactions or requestsAdvanced expertise in software engineering best practices, architectural patterns, design reviews, and system optimizationDeep hands-on experience designing microservices, event-driven, and service-oriented architectures at enterprise scaleExpert-level proficiency in Python and Golang, with ability to make principled technology choicesDemonstrated leadership mentoring engineers and influencing technical direction across teamsIn-depth knowledge of containerization and orchestration platforms (Docker, Kubernetes, OCP4) with production deployment experienceAdvanced experience optimizing performance at scale, implementing sophisticated caching strategies, and tuning complex distributed systemsHands-on expertise building and deploying applications across hybrid cloud environments (AWS, Azure) and on-premise infrastructureExpert-level knowledge of data architecture, database design (SQL and NoSQL), and data access patterns in high-scale environmentsUnderstanding of ML model serving, inference optimization, advanced ML system design patterns, and MLOpsExperience designing and implementing infrastructure for agentic AI systems and self-hosted ML model deploymentAdvanced expertise in observability, monitoring, logging, and security practices for distributed systems
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 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 scale
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:
2026-07-27
Application Deadline:
2026-08-28
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.
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Qualified applicants may be contacted to review their resume in more detail.