Senior Machine Learning Engineer, GFT

Come and be part of our innovative and high-performing GenAI and Mobile team if you are a talented, tenacious, meticulous, and results-focused individual who thrives on building production-grade GenAI applications. We are seeking an experienced Senior Machine Learning Engineer to help shape, develop, and deliver AI applications and proof-of-concepts (POCs) across diverse business lines. The successful candidate will collaborate with stakeholders to identify opportunities, develop impactful solutions, and drive the adoption of advanced AI technologies across the organization.

Are you a talented, creative, and results-driven professional who thrives on delivering high-performing GenAI applications at scale? Come join us!

Global Functions Technologies impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformational IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead the development of digital tools and platforms to enhance collaboration.

As a Senior Machine Learning Engineer, you will be a key member of a team, developing and deploying large-scale GenAI applications for enterprise use cases. You will build and optimize LLM-based solutions, RAG systems, agentic workflows, and production ML infrastructure that powers effective decision-making across RBC. You will be working in a cross-functional team that supports various businesses and you will have an opportunity to work with different kinds of datasets, modern AI frameworks, and cloud-native platforms. You will collaborate with other developers, ML engineers, and business partners to deliver medium to high-complexity GenAI initiatives with measurable business impact.

Develop, and productionize advanced GenAI and AI solutions, ensuring they address complex business challenges with measurable impact and deliver tangible ROI

Optimize and deploy state-of-the-art ML models and AI agents, leveraging modern frameworks (e.g., LangChain, LangGraph, or similar) and best practices for scalability, reliability, and maintainability

Contribute to experimentation and continuous improvement cycles, including robust prompt engineering, model evaluation, A/B testing, and performance optimization of production GenAI systems

Build and maintain production-grade ML infrastructure including data pipelines, model serving endpoints, monitoring systems, and automated deployment workflows

Implement RAG (Retrieval-Augmented Generation) systems using vector databases, semantic search, and knowledge retrieval techniques to enhance LLM capabilities

Develop agentic AI workflows with multi-step reasoning, tool use, and orchestration to solve complex business problems autonomously

Collaborate with product managers, data engineers, and business stakeholders to translate requirements into technical specifications and working solutions

Write clean, maintainable, well-documented code following software engineering best practices including code reviews, testing, and version control

Stay current with emerging GenAI technologies and research, evaluating new models, frameworks, and techniques for potential adoption

Participate in technical design discussions and contribute to architectural decisions for GenAI applications and ML infrastructure

Ensure responsible AI practices including bias detection, model explainability, security, privacy, and compliance with enterprise governance standards

Document technical solutions, architectures, and processes to enable knowledge sharing and team scalability

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.

Leaders who support your development through coaching and managing opportunities

Ability to make a difference and lasting impact on enterprise AI adoption across RBC

Work in a dynamic, collaborative, progressive, and high-performing team

Opportunities to do challenging work and build cutting-edge GenAI solutions at scale

Access to emerging technologies and continuous learning in the rapidly evolving AI landscape

Exposure to diverse business problems across Risk, Finance, Compliance, and other critical functions

Competitive compensation and benefits package

Job Skills

Additional Job Details

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.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.