Build responsible AI systems at Capital One Canada using machine learning, large language models, and Python in a hybrid mode.

As a Manager AI Engineer, you will help create AI-powered products for associates and customers. You will work with engineers, research scientists, technical program managers, and product managers. Your work will span foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, experimentation, 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, Hugging Face, VectorDBs, and PyTorch
- Introduce LLM optimization techniques for production performance




- Contribute to foundational AI technical vision and roadmap

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
- Strong engineering, mathematics, hardware, software, and AI foundations
- Ability to apply novel research techniques in production

Shape scalable AI infrastructure at Capital One Canada through LLM engineering, optimization, experimentation, and responsible production systems.

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