Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI) at Capital One

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• 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, etc.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state-of-the-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems.
• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms or technologies, or a Master'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
• At least 6 years of experience programming with Python, Go, Scala, or Java
• 7 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, integrating, delivering, and supporting complex AI systems
• Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders
• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, or Golang
• Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
• Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production
• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers

• 401k matching
• Health insurance
• Flight privileges
• Stock options
• Retirement plan
• Paid time off
• Flexible spending account
• Employee assistance program
• Life insurance
• Disability insurance
• Dental insurance
• Vision insurance
• Health savings account
• Flexible spending account
• Employee recognition program
• Employee wellness program
• Paid parental leave
• Paid family leave
• Paid vacation time
• Paid sick leave
• Paid holidays
• Employee discounts
• Employee stock purchase plan
• Employee assistance program
• Employee recognition program
• Employee wellness program
• Paid parental leave
• Paid family leave
• Paid vacation time
• Paid sick leave
• Paid holidays
• Employee discounts
• Employee stock purchase plan
• Employee assistance program
• Employee recognition program
• Employee wellness program

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. For years, Capital One has been an industry leader in using machine learning to create real-time, personalized customer experiences.