What’s the Opportunity? Are you a seasoned AI professional passionate about building cutting-edge AI solutions while establishing best-in-class development practices? Join our collaborative and innovative team within Global Payments Technology, where you'll lead the charge in delivering high-performing AI agents and shaping how we build them.

What’s the Opportunity? Are you a seasoned AI professional passionate about building cutting-edge AI solutions while establishing best-in-class development practices? Join our collaborative and innovative team within Global Payments Technology, where you'll lead the charge in delivering high-performing AI agents and shaping how we build them.

Global Payments Technology is part of RBC's Technology and Operations division, collaborating with partners across the company to deliver innovative IT solutions. Our clients span various departments, including Risk, Finance, HR, and more. We lead the development of digital tools and platforms to enhance collaboration and are known for our culture of innovation, inclusivity, and collaboration.

This role is part of the Global Payments Technology team, focusing on building LLM-powered AI agents for the Global Payments domain while establishing robust AI Development Lifecycle (SDLC) practices using Spec-Driven Development methodologies.

What Will You Do? Lead the design, development, and deployment of AI agents powered by Large Language Models (LLMs) for payment processing and automation use cases

Establish and champion AI Development Lifecycle (AI SDLC) best practices using Spec-Driven Development approaches

Architect and implement MLOps pipelines for model training, evaluation, deployment, and monitoring

Design and enforce standards for AI model specification, documentation, and versioning

Evaluate, select, and integrate tools and technologies that enhance AI development efficiency and quality

Mentor team members on AI development best practices, LLM frameworks, and modern ML engineering techniques

Collaborate with cross-functional teams to define requirements and deliver scalable AI solutions





Drive continuous improvement in development processes, code quality, and team productivity

Stay current with emerging AI technologies and assess their applicability to payment systems

What Do You Need to Succeed? Must-Have Skills: 5+ years of experience in software development with 3+ years focused on machine learning and AI solutions

Expert proficiency in Python with deep experience in ML libraries (TensorFlow, PyTorch, scikit-learn)

Proven experience building production-grade applications using Large Language Models (LLMs) and frameworks such as LangChain, Langraph, or similar

Solid understanding of Software Development Lifecycle (SDLC) and experience implementing development best practices

Hands-on experience with MLOps tools and practices (model versioning, CI/CD for ML, monitoring, A/B testing)

Experience with cloud platforms (AWS, Azure, Google Cloud, or OpenShift) and containerization (Docker, Kubernetes)

Demonstrated ability to architect scalable, maintainable AI systems

Strong leadership and mentorship capabilities with excellent communication skills

Experience with Spec-Driven Development, API design, or technical documentation standards

Nice-to-Have Skills: Experience in financial services or payment processing systems

Knowledge of LLM fine-tuning, prompt engineering, and Retrieval-Augmented Generation (RAG)

Familiarity with model governance, compliance, and responsible AI practices

Experience with data engineering and building data pipelines

Background in natural language processing (NLP) research or advanced AI techniques

Contributions to open-source AI/ML projects

Certifications in cloud platforms or AI/ML specializations





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.

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 agile, collaborative, progressive, and high-performing team

Opportunities to do challenging work

Opportunities to take on progressively greater accountabilities

Access to a variety of job opportunities across business

Job Skills Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages

Additional Job Details Address 180 WELLINGTON ST W:TORONTO

City Toronto

Country Canada

Work hours/week 37.5

Employment Type Full time

Platform TECHNOLOGY AND OPERATIONS

Job Type Regular

Pay Type Salaried

Posted Date 2026-08-24

Application Deadline 2026-09-25

Note Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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.

📌 Lead AI/ML Engineer (Toronto)
🏢 RBC
📍 Toronto