Senior Director, AI Solutions Engineering

Royal Bank of Canada • Toronto, ON

1d • Onsite

About The Position

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.

Requirements

• 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 Haves

• 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.

Responsibilities

• 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.
• 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.
• 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.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior