Lead AI Engineer (IFX)

Salary: $179,400 - 245,600 per year Requirements:

• We require a bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 4 years of experience developing AI and ML algorithms or technologies, or a masters degree in one of those fields plus at least 2 years of experience developing AI and ML algorithms or technologies.
• We require at least 4 years of programming experience with Python, Go, Scala, or Java.
• Preferred: 6 years of experience deploying scalable and responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or equivalent private cloud.
• Preferred: Experience designing, building, delivering, and supporting AI services.
• Preferred: Experience developing AI and ML technologies such as LLM inference, similarity search and VectorDBs, guardrails, or memory using Python, C++, C#, Java, or Golang.
• Preferred: Experience applying advanced techniques to optimize training and inference software for better hardware utilization, latency, throughput, and cost.
• Preferred: Strong interest in current AI research and AI systems, with the judgment to apply new methods in production.

• We partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers interact with Capital One.
• We design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• We use a broad set of open source and SaaS AI technologies, including AWS Ultraclusters, Hugging Face, VectorDBs, NeMo Guardrails, PyTorch, and related tools.
• We create and introduce state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput in large-scale production AI systems.
• We contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One.

• AI
• AWS
• Azure
• C#
• Cloud
• Golang
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Machine Learning

More:

At Capital One, we are building responsible and reliable AI systems to change banking for good. Our Intelligent Foundations and Experiences (IFX) team sits at the center of our AI vision, working closely with partners across the company to advance science and AI engineering and to build proprietary solutions that deliver value to millions of customers. We offer a comprehensive, competitive, and inclusive benefits package that supports total well-being, along with performance-based incentive compensation. This role is available in locations including Sales Territory, Cambridge, MA, McLean, VA, and New York, NY, with salary ranges varying by location. We may also sponsor a new qualified applicant for employment authorization for this position.

last updated 37 week of 2026