Director, Software Development - AI/ML Solutions and Delivery
Listed on 2026-02-17
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IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description
What is the opportunity?This is an opportunity to work at RBC Insurance Active Data Platform team with a group of professionals dedicated to deliver solutions to Insurance business and clients. We are all in with Agile development, Dev Ops, Open Source, Software as a Service (SaaS) and modern tools and processes. You will have an opportunity to make a real difference by working on some impactful and meaningful projects.We are seeking a highly experienced and strategic Director to lead our Machine Learning Engineering Group, focusing on the delivery, operationalization, and continuous maintenance of robust, high-performing AI/ML products in production for our Insurance Businesses. This critical role combines deep technical expertise in machine learning and MLOps and AIOps, exceptional leadership capabilities, and a profound understanding of the insurance industry’s unique challenges and opportunities.
The successful candidates has the proven ability to navigate ambiguity to lead in a fast-paced, rapidly evolving technological environment, and proven experience supporting and managing production applications.
Our applications are used by RBC staff and clients making your contributions highly impactful and visible, directly contributing to the success of RBC. We deliver digitally enabled applications that are both internal and internet facing. We build cloud data lakehouse, stable web, and back-end applications which are resilient, scalable and high performance that avoids failure and focused on delivering best client experience.
We continuously update our tech skills and upgrade our platforms to match industry standards.
What will you do?
Collaborate closely with Insurance business leaders, product managers, data scientists, and IT stakeholders across various lines to understand the requirements, define scope and manage expectations.
Mature MLOps system, embedding automated model training, versioning and monitoring
Tailor infrastructure and platform support to RBCI needs (i.e. integration and scalability)
Drive improved CI/CD pipeline for Airflow orchestration
Implement AI model registry and versioning
Lead operational AI support: incident management, logging, log monitoring, AIOps, performance tuning, model drift detection, etc.
Define, communicate, and execute the AI/ML roadmap for insurance applications, aligning with overall business vision and emerging AI trends (e.g., Generative AI, Agentic AI, Large Language Models).
Stay abreast of the latest advancements in AI/ML, particularly in Agentic AI and process automation, and evaluate their applicability and potential for the insurance sector.
Champion ethical and responsible AI principles, ensure all initiatives comply with regulatory requirements specific to the Insurance industry (e.g., OSFI guidelines, privacy regulations).
Lead, mentor, and grow a team of high-performing Machine Learning Engineers, fostering a culture of technical innovation, collaboration, and continuous improvements.
Establish and enforce robust monitoring frameworks for all deployed AI/ML productions, ensure the resilience, uptime, and disaster recovery capabilities of all production systems.
Oversee talent acquisition, performance management, career development and retention for the ML Engineering team.
Drive the end-to-end development, deployment and operation of robust, scalable, maintainable, and production-ready AI/ML solutions. Ensure the solutions are well-integrated with existing insurance systems and data infrastructure.
Must Have:
8+ years of progressive experience in Machine Learning Engineering, AI development or Data Science, with 5+ years in leadership role managing ML engineers or data scientist,
with a strong emphasis on production system delivery and operations.
Proven experience working with or within the Insurance industry, demonstrating a clear understanding of its data, processes, and business challenges.
Exceptional leadership, mentorship, and team-building abilities. Outstanding communication, presentation, and interpersonal skills.
Demonstrated experience in delivering production-grade AI/ML solutions from concept to…
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