Director, Software Development - AI/ML Solutions and Delivery

RBC; Mississauga; On-site; CAD 120,000 - 160,000; Full time

Job summary

A leading bank in Canada is seeking a Director of Software Development focused on AI/ML Solutions. This role involves collaborating with business leaders to drive impactful AI initiatives, managing a talented team, and ensuring regulatory compliance. Candidates should have extensive experience in AI development, leadership, and production-grade solutions.

Benefits

Bonuses and flexible benefits

Comprehensive training program

Flexible work/life balance options

Qualifications

• 8+ years of experience in Machine Learning Engineering, AI development or Data Science.
• 5+ years in leadership role managing ML engineers or data scientists.
• Proven experience in delivering production-grade AI/ML solutions.

Responsibilities

• Collaborate with business leaders and stakeholders to understand requirements.
• Mature MLOps system with automated model training and monitoring.
• Champion ethical AI principles and ensure compliance with regulations.

Skills

Machine Learning Engineering

AI Development

Leadership

Communication

Python Programming

Education

Bachelor's degree in Computer Science or related field

Master’s or Ph.D. preferred

Tools

PyTorch

TensorFlow

AirFlow

AWS SageMaker

Azure ML

Job description

Director, Software Development - AI/ML Solutions and Delivery

Join to apply for the Director, Software Development - AI/ML Solutions and Delivery role at RBC.

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, DevOps, 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.

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.

What do you need to succeed?

• 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 production, and production management and support.
• Experience with process automation initiatives and a strong understanding of Agentic AI paradigms.
• Expertise in programming languages commonly used in ML (Python is essential, others like Java, Scala, R are a plus).
• Proficiency with ML frameworks, libraries (e.g., PyTorch, TensorFlow, AirFlow, Hugging Face).
• Strong understanding of MLOps principles, tools and platforms (e.g., MLflow, AWS SageMaker, Azure ML).
• Solid experience with cloud platforms for ML infrastructure, modern data architecture, and scalable computing.
• Demonstrated commitment to continuous learning and staying current with AI/ML advancements.
• Bachelor’s degree in Computer Science, Machine Learning, Artificial Intelligence, Electrical Engineering or a related quantitative field.
• Master’s or Ph.D. preferred.

What’s in it for you?

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.
• Leaders who support your development through coaching and managing opportunities.
• Ability to make a difference and lasting impact.
• Work in a dynamic, collaborative, progressive, and high-performing team.
• A world-class training program in financial services.
• Flexible work/life balance options.
• Opportunities to do challenging work.

Inclusive and Equal Opportunity Employment Statement

At 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.