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 standards

• Designing, building, and optimizing mission-critical AI services that power the organization's most strategic AI and ML applications

• Establishing and evangelizing software best practices, architectural patterns, and quality standards across AI engineering teams

• Leading complex technical design decisions and enterprise-scale system architecture for AI platforms, including API frameworks, data governance models, and integration patterns

• Collaborating cross-functionally with infrastructure, platform, and ML teams to architect seamless, reliable, and performant AI systems at scale

• Mentoring and developing junior and staff engineers, fostering a culture of technical excellence and continuous learning

• Building highly scalable, resilient, and secure cloud and on-premise software systems for hosting AI services using cutting-edge technologies

• Driving 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 architectures

• Proven track record architecting and delivering large-scale, production systems serving millions of transactions or requests

• Advanced expertise in software engineering best practices, architectural patterns, design reviews, and system optimization

• Deep hands-on experience designing microservices, event-driven, and service-oriented architectures at enterprise scale

• Expert-level proficiency in Python and Golang, with ability to make principled technology choices

• Demonstrated leadership mentoring engineers and influencing technical direction across teams

• In-depth knowledge of containerization and orchestration platforms (Docker, Kubernetes, OCP4) with production deployment experience

• Advanced experience optimizing performance at scale, implementing sophisticated caching strategies, and tuning complex distributed systems

• Hands-on expertise building and deploying applications across hybrid cloud environments (AWS, Azure) and on-premise infrastructure

• Expert-level knowledge of data architecture, database design (SQL and NoSQL), and data access patterns in high-scale environments

• Understanding of ML model serving, inference optimization, advanced ML system design patterns, and MLOps

• Experience designing and implementing infrastructure for agentic AI systems and self-hosted ML model deployment

• Advanced 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 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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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.

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.