Job DescriptionWhat is the opportunity?We are looking for an enthusiastic and skilled Lead Machine Learning and AI Engineer to spearhead our AI initiatives, lead the development and deployment of cutting-edge machine learning models, drive innovation, and collaborate with cross-functional teams to drive business growth and improvement. The candidate will have a strong background in machine learning models and algorithms, software development and leadership, with a proven track record of delivering high-quality solutions that meet business needs. The person will play a key role in shaping our ML strategy and mentoring a team of talented engineers to reach the same goal.
The candidate posts deep understanding of data management principles, modern data stack, cloud computing and ability to apply them in practical, business-focused context. Additionally, the candidate demonstrates expertise in Agentic Development Life Cycle (ADLC), specification-driven development, knowledge of agent ecosystem, agentic governance and monitoring, context engineering, AI review platform, and is well versed with harness engineering concepts to direct AI. Partners across IT and with assigned business line(s) to assess, research, and analyze business, technical and system needs in order to resolve business systems issues. Recommends technology solutions that meet sponsor / stakeholder needs. Acts as primary IT liaison with multiple interfacing applications, third party vendors, IT Executives, and/or Project Managers.
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?- Technical Leadership: Lead a team of machine learning engineers and data scientists, and provide technical guidance, mentorship, and oversight.
- Collaboration: Partner with Agile project team members, project product managers, product owners, software engineers, and stakeholders to evaluate, review use cases, align ML initiatives with overall company goals.
- MLOps: Design, build, and deploy scalable machine learning models and algorithms that address business needs, with a focus on performance and reliability. Oversee the setup and maintain of end-to-end machine learning pipelines to ensure integration with applications. Collaborate with data engineers to ensure efficient data collection, preparing and feature engineering pipelines.
- Documentation: Set up standards and processes, maintain and keep up to date comprehensive documentation of application architecture, models, pipelines, and development processes.
- Reviews: Set up coding best practices, ensure high-quality code through regular reviews and all solutions meet the RBC's coding standards.
- Operations: Keep software engineering practice in mind, build products that can be maintain with least incidents, maintain metrics and monitoring to meet Service and Operational Level Agreements.
- Emerging Technology: Stay up-to-date with the latest advancements in machine learning and related emerging technologies, share knowledges with teams and apply the knowledge to improve existing systems and develop new ones.
What do you need to succeed?Must Have- Strong programming skills in languages such as Python, java, or C++. Experience with cloud platforms (AWS, GCP, and Azure) and MLOps tools.
- 5+ years of hands-on experience in machine learning development, and experience leading a team of machine learning developers or engineers.
- Strong understanding of software development principles, including design patterns, testing, and deployment. Experience with DevOps practices such as CI/CD, experience with containerization using Docker and Kubernetes.
- Past experience in data and AI/ML space would be preferred
- Strong understanding of application implementation requirements, including risk, privacy, and compliance.
- Excellent communication and leadership skills, with the ability to work effectively with cross-functional teams
- Expert on the applications that we are supporting, strong problem-solving skills. Able to provide production support and to analyze complex problems, develop creative solutions.
- Proving ability to lead the team of engineers, provide guidance in a timeline manner, communicate clearly with business stakeholders;
- Knowledge of harness engineering concepts to direct and optimize AI system behavior.
Nice to Have- Adaptability, Critical thinking and growing mindset
- Management and collaboration skills, Verbal and written communication skills
- Team contributor and care about team members
- Graduate in science, mathematics, statistics or engineering
- Experience with Agentic Development Life Cycle (ADLC), specification-driven development, and agent ecosystem architectures.
- Experience with agentic governance frameworks, monitoring and observability for agents, and AI review platforms.
- Experience in context engineering, prompt optimization, and Retrieval-Augmented Generation (RAG) systems.
- Experience with agent frameworks, LLM orchestration platforms, or agent evaluation tools.
- Knowledge of agentic AI governance and responsible AI practices.
What9;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.
- 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
- Opportunities to take on progressively greater accountabilities
- Opportunities to building close relationships with clients
- Access to a variety of job opportunities across business and geographies
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Job SkillsBig Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages
Additional Job DetailsAddress:MEADOWVALE BUSINESS PARK, 6880 FINANCIAL DR:MISSISSAUGA
City:Mississauga
Country:Canada
Work hours/week:37.5
Employment Type:Full time
Platform:TECHNOLOGY AND OPERATIONS
Job Type:Regular
Pay Type:Salaried
Posted Date:2026-06-24
Application Deadline:2026-07-31
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
