Responsibilities
- Develop and productionize advanced GenAI and AI solutions that address complex business challenges and deliver measurable business impact.
- Optimize and deploy ML models and AI agents using modern frameworks such as LangChain and LangGraph.
- Conduct prompt engineering, model evaluation, A/B testing, experimentation, and production performance optimization.
- Build and maintain ML infrastructure including data pipelines, model-serving endpoints, monitoring systems, and automated deployment workflows.
- Implement RAG systems using vector databases, semantic search, and knowledge retrieval techniques.
- Develop agentic AI workflows with multi-step reasoning, tool use, and orchestration.
- Collaborate with product managers, data engineers, developers, ML engineers, and business stakeholders to deliver GenAI initiatives.
- Write maintainable, documented code and participate in code reviews, testing, technical design, and architectural decisions.
- Evaluate emerging GenAI technologies, models, frameworks, and techniques for potential adoption.
- Apply responsible AI practices covering bias detection, explainability, security, privacy, and enterprise governance.
Requirements
- 5+ years of machine learning engineering experience, including 2+ years focused on production ML systems.
- Hands-on production experience building GenAI applications using LLMs, RAG, agents, or similar technologies.
- Strong proficiency in Python and modern ML frameworks such as LangChain, LangGraph, Hugging Face, OpenAI API, or Anthropic Claude.
- Understanding of LLM architectures, prompt engineering, fine-tuning, and optimization techniques.
- Experience with AWS, Azure, or GCP and containerization using Docker and Kubernetes.
- Practical knowledge of MLOps practices including model monitoring, versioning, and deployment automation.
- Experience with vector databases and semantic search systems, including Pinecone, Weaviate, pgvector, or Chroma.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience.
- Preferred qualifications include financial-services or regulated-industry experience, agentic AI and multi-agent orchestration knowledge, real-time streaming data, distributed systems, high-scale data processing, experimentation platforms, graph databases, knowledge graphs, and transformer architectures.
- Strong problem-solving, collaboration, and communication skills.
Benefits
- Competitive compensation and benefits package.
- Coaching, development, and management opportunities.
- Opportunity to make a lasting impact on enterprise AI adoption at RBC.
- Collaborative, progressive, high-performing team environment.
- Challenging work with cutting-edge GenAI solutions at scale.
- Access to emerging technologies and continuous learning.
- Exposure to diverse business problems across Risk, Finance, Compliance, and other critical functions.
- Full-time regular employment in Toronto, Canada, with 37.5 work hours per week.
Categories
About RBC
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact. http://rbc.com/legalstuff. La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social. https://www.rbc.com/conditions-dutilisation/