Lead AI/ML Software EngineerJob DescriptionWe're looking a Lead AI/ML Software Engineer to drive innovation at the intersection of AI / Machine Learning and financial services. In this role, you'll own end-to-end AI solution delivery - from data preprocessing and exploration through ML algorithm development, pipeline scaling, and production system deployment and monitoring. You'll join SA&I's team of technologists reimagining the future of the Personal Bank at RBC.
What will you do?- Design and build cutting-edge ML models in support of Agentic Commerce solutions.
- Lead the development of Personal Banking's machine learning products across the full lifecycle - from ideation and proof-of-concept through development, deployment, and production monitoring.
- Collaborate with product and stakeholders to ensure the seamless delivery and integration of AI solutions.
- Apply software engineering and ML best practices architect robust, scalable machine learning systems.
- Provide comprehensive documentation and articulate design decisions and technical rationale to support team understanding and knowledge transfer.
- Stay current with emerging AI/ML technologies, mentor team members, and champion a culture of innovation and continuous learning.
What do you need to succeed?Must have:
- PhD or Master's degree in Computer Science, Machine Learning, or equivalent hands-on experience.
- Exceptional verbal and written communication skills with proven ability to collaborate effectively across cross-functional teams (business, engineering, model risk management).
- Five (5) or more years building and deploying Machine Learning models in production for real business problems.
- Advanced proficiency in Python (preferred) and/or other programming languages, with demonstrated ability to write production-grade code and documentation.
- Advanced proficiency with large language model architectures, including inference (Tensorflow or Pytorch), fine-tuning, and model deployment.
- Strong understanding and work experience with retrieval-augmented generation (RAG) systems, agentic systems, orchestration frameworks, context and memory management, and tool/skills integration patterns.
- In-depth knowledge of embeddings, re-rankers, and vector databases.
- Expertise in ML experimentation, model evaluation, and production observability.
- Proven experience building and deploying RESTful APIs for ML model serving (FastAPI, Flask).
- Demonstrated proficiency with MLOps practices, including model serving, monitoring, CI/CD pipelines for ML systems, and containerized workload deployment (OpenShift Container Platform / OCP4 or Kubernetes)
- Proficiency with AI-assisted software development tools (e.g., GitHub Copilot, Windsurf AI, Anthropic Claude Code).
Nice-to-have:- Experience with Small Language Models (SLMs) for on-device inference, domain specialization through fine-tuning, or Reinforcement Learning applications.
- Track record of adopting and leveraging AI-driven solutions to enhance productivity, automate routine tasks, and drive efficiency.
- Demonstrates curiosity about emerging AI capabilities and a thoughtful approach to applying them for enhanced client outcomes.
- Experience in managing, mentoring, or coaching team members and empowering junior engineers to grow and succeed.
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.
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- Opportunities to do challenging work
- Consistent access to training, education and professional development opportunities
- Be a part of a collaborative team that brings outside-in thinking to RBC
Job SkillsBig Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages
Additional Job DetailsAddress:RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO
City:Toronto
Country:Canada
Work hours/week:37.5
Employment Type:Full time
Platform:PERSONAL & COMMERCIAL BANKING
Job Type:Regular
Pay Type:Salaried
Posted Date:2026-06-29
Application Deadline:2026-07-20
Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
