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

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

Solid 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.

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