AI Engineer
Description
Join RBC's Client & Banking division as an AI Engineer to design and deploy AI-driven solutions leveraging large language models (LLMs) and intelligent workflow automation. The role focuses on high-impact areas such as Client Analytics, Deal Analytics, and Document Processing, combining AI innovation with banking expertise to enhance client experiences and streamline operations. Responsibilities include building systems for personalized insights, developing automated workflows for document processing, and creating pipelines to understand unstructured data.
What We're Looking For
3+ years of experience with Python and LLM frameworks (e.g., LangChain Face, OpenAI API) and NLP tools.,Familiarity with Retrieval-Augmented Generation (RAG) systems or semantic search for enhancing LLM accuracy.,Skills in data engineering and cloud platforms (AWS/Azure).,Ability to design modular, scalable AI workflows for complex banking use cases.,Expertise in integrating AI models with APIs, databases, and enterprise systems.,Experience with workflow orchestration tools (e.g., Airflow, Kubeflow) for multi-step AI processes (Nice-to-Have).,Knowledge of RBC's technical ecosystem or financial services workflows (Nice-to-Have).,Creativity in solving unstructured data challenges (e.g., dynamic report generation, email triage) (Nice-to-Have).
Hard Skills
Soft Skills
Work Hours
37.5 hours/week
Benefits
Also Available At
About the Company
Royal Bank of Canada
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. As Canada's largest bank, it provides personal and commercial banking, wealth management, and capital markets services to over 17 million clients worldwide.
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