Build responsible AI systems as a Manager, AI Engineer at Capital One Canada in Toronto, using machine learning and large language models. This manager-level engineering role supports Intelligent Foundations and Experiences, delivering AI-powered products for associates and customers. You will work with engineers, research scientists, technical program managers, and product managers across Capital One. The work spans foundation model training, LLM inference, similarity search, guardrails, evaluation, experimentation, governance, and observability.

Key Responsibilities
- Partner with cross-functional teams to deliver AI-powered products
- Design, develop, test, deploy, and support AI components
- Use AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch




- Develop LLM optimization techniques for production systems
- Shape foundational AI technical vision and long-term roadmaps

Requirements:
- Bachelor’s degree plus four years developing AI or ML technologies
- Master’s degree plus two years developing AI or ML technologies
- Four years programming with Python, Go, Scala, or Java
- Six years deploying scalable responsible AI on cloud platforms
- Experience designing, delivering, and supporting AI services Apply your engineering, AI optimization, and research skills to foundational systems serving Capital One customers and businesses.

📌 Manager Generative AI Engineer (Toronto)
🏢 Capital One - Canada
📍 Toronto