Senior Director, AI Solutions Engineering at Dr Bill RBC Ventures

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

23 Aug, 26

Salary

0.0

Posted On

25 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Application Development, Application Maintenance, Applications Architecture, Commercial Acumen, Enterprise Application Delivery, Information Technology Management, Information Technology Trends, Programming Languages, System Applications, MLOps, Software Engineering, AI Solution Delivery, System Integration, Technical Leadership, Stakeholder Management, Data Engineering

Industry

Banking

Description

Job Description What is the opportunity? RBC's AI Group is building the future of AI-powered banking, and our AI Solutions Engineering team is responsible for translating cutting-edge AI research into production-ready, enterprise-grade solutions that serve millions of clients. Reporting to the VP, Solutions Engineering & Delivery, the Senior Director, AI Solutions Engineering will lead a team of software engineers and ML engineers responsible for building, deploying, and scaling AI solutions across RBC's business lines. This is a high-impact technical leadership role at the forefront of RBC's $1 billion AI ambition, where you'll combine deep software engineering expertise with AI solution delivery to build robust, scalable systems that power credit decisions, fraud detection, personalized client experiences, and innovative digital banking products. You'll bridge the gap between AI research, platform engineering, and business value delivery. You'll build and lead a high-performing engineering team that takes AI algorithms from Applied AI and Research teams and transforms them into mission-critical solutions integrated with RBC's enterprise platforms including Lumina, core banking systems, and digital channels. Your work will directly enable RBC to deploy AI at scale while meeting the rigorous performance, reliability, security, and regulatory requirements of a leading global financial institution. What will you do? AI Solutions Engineering Leadership: Lead the engineering, development & delivery of enterprise-grade AI solutions across multiple business domains, in support of RBC’s AI ambition. Ensure the successful deployment of AI solutions on RBC platforms. Provide production support and monitoring for AI models in partnership with T&O and business groups. Partner with VP, Applied AI teams to translate research algorithms and ML models into production-ready software solutions that meet business requirements. Drive the technical roadmap for AI solutions engineering including architecture patterns, integration strategies, deployment automation, and operational excellence. Ensure all AI solutions meet RBC's standards for performance, reliability, scalability, security, and regulatory compliance. Collaborate with the VP, AI Architecture, Tools and Innovation team to ensure all AI solutions adhere to enterprise AI architecture standards, patterns, and governance frameworks. Cross-Functional Collaboration & Stakeholder Management: Partner closely with the VP, AI Architecture, Tools and Innovation team to ensure AI solutions align with enterprise architecture standards, leverage reusable components, and follow best practices for governance and evaluation. Collaborate with the VP, Lumina AI & Data Platform team to ensure optimal use of RBC's AI and data platform capabilities, including integration with enterprise data lake, AI/ML platforms, and agentic platforms. Work with AI Research and Applied AI teams to provide feedback on model development and influence research priorities based on productionization challenges. Collaborate closely with business line CIOs, product managers, and technology partners to understand requirements and deliver solutions that drive business value. Engage with platform engineering teams (Cloud, Data Hub, Enterprise Data Warehouse) to ensure AI solutions leverage enterprise infrastructure effectively. Partner with AI Governance & Evaluation, Model Risk, and third-party risk teams to ensure compliance with regulatory and ethical AI standards. Serve as a trusted technical advisor to senior leadership, translating complex technical concepts for business audiences. Team Leadership & Capability Building: Build and lead a high-performing team of ML software engineers, AI engineers, UI/UX designers, data engineers, program managers and technical leads responsible for delivering AI solutions. Foster a culture of engineering excellence, innovation, ownership, and continuous learning within the team. Mentor engineers and create career development pathways for growing technical leadership talent. What do you need to succeed? Must Have: 12+ years of experience in software engineering, delivery, platform engineering, or systems engineering roles with at least 5 years in leadership positions. Bachelor's degree in Computer Science, Software Engineering, or related technical field from a top-tier university. Proven track record building and deploying large-scale, mission-critical software systems in production environments at leading technology companies. Strong experience with enterprise software delivery, system integration, and working with complex legacy and modern technology stacks. Preferably experience in financial services or other regulated industries with understanding of compliance and governance requirements. Nice to Have: Experience with ML productization, MLOps, model deployment, and production ML systems. Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch) and understanding of machine learning model architectures. Background in data engineering, real-time data pipelines, or integration with enterprise data platforms. What's in it for you? We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual. Strategic impact: Drive the delivery of RBC's most transformative AI programs, directly contributing to the bank's $1 billion AI ambition. Leadership opportunity: Build and lead a program delivery team while shaping AI delivery practices and standards across the organization. Technical and strategic blend: Leverage your engineering background while driving organizational delivery excellence. Diverse and complex portfolio: Manage cutting-edge AI initiatives spanning ATOM deployment, generative AI, fraud detection, credit optimization, and more. Cross-functional influence: Partner with leading AI researchers, engineers, platform teams, and business leaders across RBC. Comprehensive Total Rewards Program including competitive compensation, bonuses, flexible benefits, and stock options. Talent development: Leaders who support your growth through coaching, mentorship, and opportunities to expand your delivery expertise. Dynamic, high-performing team: Work alongside some of the brightest minds in AI, technology, and financial services. Opportunities for progressively greater impact: As RBC's AI portfolio scales, so will your scope, influence, and career opportunities. #LI-POST #TechPJ Job Skills Application Development, Application Maintenance, Applications Architecture, Commercial Acumen, Enterprise Application Delivery, Information Technology Management, Information Technology Trends, Programming Languages, System Applications 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: TECHNOLOGY AND OPERATIONS Job Type: Regular Pay Type: Salaried Posted Date: 2026-05-24 Application Deadline: 2026-06-30 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. Join our Talent Community Stay 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. 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. Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 84,000+ employees who bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada’s biggest bank, and one of the largest in the world based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to more than 16 million clients in Canada, the U.S. and 34 other countries. Learn more at rbc.com.‎ We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at rbc.com/community-social-impact.

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Responsibilities

Lead the engineering and delivery of enterprise-grade AI solutions to translate research into production-ready banking systems. Manage a high-performing team of engineers to build scalable systems for credit decisions, fraud detection, and personalized client experiences.