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Capital One

Lead AI Engineer, AI Foundations

Capital One

Lead AI Engineer developing AI-powered products at Capital One. Collaborating with cross-functional teams to deliver innovative AI solutions.

Posted 4/24/2026full-timeNew York City • California, Massachusetts, New York, Virginia • 🇺🇸 United StatesSenior💰 $197,300 - $245,600 per yearWebsite

Tech Stack

Tools & technologies
AWSAzureCloudGoJavaOpen SourcePythonPyTorchScala

About the role

Key responsibilities & impact
  • Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products
  • 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
  • Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch
  • Invent and introduce state-of-the-art LLM optimization techniques to improve performance of large scale production AI systems
  • Contribute to the technical vision and the long term roadmap of foundational AI systems

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms or technologies,
  • A Master's degree in related fields plus at least 2 years of experience developing AI and ML algorithms or technologies
  • At least 4 years of experience programming with Python, Go, Scala, or Java
  • 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud)
  • Experience designing, developing, delivering, and supporting AI services
  • Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost

Benefits

Comp & perks
  • Health insurance
  • Competitive salary
  • Flexible work arrangements
  • Performance based incentive compensation
  • Comprehensive benefits package

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AI software developmentML algorithmsPythonGoScalaJavalarge language model inferencemodel evaluationoptimization techniquescloud deployment
Soft Skills
collaborationcommunicationtechnical visionroadmap development
Certifications
Bachelor's degree in Computer ScienceMaster's degree in related fields