Senior Machine Learning Engineer, GFT
RBC
Get more replies from employers
Send a job-specific resume in minutes.
Job summary
RBC in Toronto, Canada is seeking a Senior Machine Learning Engineer to design, build, and deploy GenAI applications at enterprise scale. You will develop LLM-based systems, RAG components, and agentic workflows within a cross-functional team across Risk, Finance, Compliance, and more.
You will collaborate with data engineers and product managers to translate business requirements into robust, production-ready AI solutions while ensuring governance, security, and responsible AI practices are
Qualifications
- 5+ years of experience in machine learning engineering with 2+ years focused on production ML systems.
- Hands-on experience building GenAI applications using LLMs, RAG, agents, or similar technologies in production environments.
- Strong proficiency in Python and modern ML frameworks (LangChain, LangGraph, Hugging Face, OpenAI API, Anthropic Claude, etc.).
- Solid understanding of LLM architectures, prompt engineering, fine-tuning, and optimization techniques.
- Experience with cloud platforms (AWS/Azure/GCP) and containerization (Docker, Kubernetes).
- Practical knowledge of MLOps practices including CI/CD, model monitoring, versioning, and deployment automation.
- Experience with vector databases (Pinecone, Weaviate, pgvector, Chroma) and semantic search systems.
- Strong problem-solving skills with ability to break down complex problems into implementable solutions.
- Excellent collaboration and communication skills with ability to work effectively in cross-functional teams.
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (or equivalent practical experience)
Responsibilities
- Develop and productionize GenAI and AI solutions for complex business challenges with measurable impact.
- Optimize and deploy ML models and AI agents for scalability and reliability.
- Contribute to experimentation, evaluation, and performance optimization of production GenAI systems.
- Build and maintain production-grade ML infrastructure including data pipelines and model serving endpoints.
- Implement RAG systems using vector databases and semantic search for enhanced LLM capabilities.
- Develop agentic AI workflows with multi-step reasoning and tool orchestration.
- Collaborate with product managers and data engineers to translate requirements into solutions.
- Write clean, tested code with reviews and version control.
- Stay current with GenAI technologies and assess new models and frameworks for adoption.
- Participate in architectural decisions for GenAI applications and ML infrastructure.
Skills
Education
Tools
Job description
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
- 5+ years of experience in machine learning engineering with 2+ years focused on production ML systems
- Hands‑on experience building GenAI applications using LLMs, RAG, agents, or similar technologies in production environments
- Strong proficiency in Python and modern ML frameworks (LangChain, LangGraph, Hugging Face, OpenAI API, Anthropic Claude, etc.)
- Solid understanding of LLM architectures, prompt engineering, fine‑tuning, and optimization techniques
- Experience with cloud platforms (AWS/Azure/GCP) and containerization (Docker, Kubernetes)
- Practical knowledge of MLOps practices including CI/CD, model monitoring, versioning, and deployment automation
- Experience with vector databases (Pinecone, Weaviate, pgvector, Chroma) and semantic search systems
- Strong problem‑solving skills with ability to break down complex problems into implementable solutions
- Excellent collaboration and communication skills with ability to work effectively in cross‑functional teams
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or related field (or equivalent practical experience)
- Experience in financial services or highly regulated industries with understanding of compliance and data privacy requirements
- Knowledge of agentic AI architectures and multi‑agent orchestration frameworks
- Experience with real‑time streaming data and event‑driven architectures
- Familiarity with distributed systems and high‑scale data processing
- Experience with A/B testing frameworks and experimentation platforms
- Contributions to open‑source ML/AI projects or technical blog posts
- Experience with graph databases and knowledge graph construction
- Understanding of transformer architectures and attention mechanisms
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
Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages
RBC CENTRE, 155 WELLINGTON ST W:TORONTO
Toronto
Canada
37.5
Full time
TECHNOLOGY AND OPERATIONS
Regular
Salaried
2026-08-28
2026-09-25
Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
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.
Stay in‑the‑know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.
Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well‑being of our clients and communities at jobs.rbc.com.
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.
'/%3e%3cpath%20d='M101.744%2012.4726L102.894%2016.1947L99.0021%2013.2201L101.744%2012.4726ZM105.3%208.40937H100.488L99.0026%203.59473L97.5116%208.41047L92.7%208.40385L96.5965%2011.3834L95.1055%2016.1942L99.0021%2013.2196L101.408%2011.3834L105.3%208.40992V8.40937Z'%20fill='white'/%3e%3cdefs%3e%3clinearGradient%20id='paint0_linear_5593_1381'%20x1='90'%20y1='9.44471'%20x2='99'%20y2='9.44471'%20gradientUnits='userSpaceOnUse'%3e%3cstop%20stop-color='%2300AD70'/%3e%3cstop%20offset='0.998594'%20stop-color='%2300B67A'/%3e%3cstop%20offset='1'%20stop-color='%23DCDCE6'/%3e%3c/linearGradient%3e%3c/defs%3e%3c/svg%3e){kind=small}
