Lead foundational AI engineering at Capital One Canada, combining machine learning, cloud platforms, and scalable software in a hybrid work model.

This Manager AI Engineer role focuses on building reliable systems that support personalized customer experiences and associate workflows. You will collaborate across engineering, research, product, and technical program teams. The work includes AI services, model evaluation, governance, observability, and high-performance infrastructure using open-source and SaaS technologies.

Key Responsibilities:

- Deliver AI-powered products with engineers and research scientists
- Develop and support scalable AI software components
- Build model evaluation, governance, guardrails, and observability capabilities
- Optimize training and inference for latency,



throughput, and cost
- Advance long-term roadmaps for foundational AI systems

Requirements:
- Four years programming with Python, Go, Scala, or Java
- Four years developing AI and ML algorithms or technologies
- Degree in computer science, AI, engineering, or related fields
- Experience deploying responsible AI solutions on cloud platforms preferred
- Experience designing, delivering, and supporting AI services preferred

Bring platform engineering, cloud AI, and machine learning expertise to Capital One Canada’s foundational systems.

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📌 Machine Learning Platform Engineering Manager (Toronto)
🏢 Capital One
📍 Toronto