Capital One seeks a Senior Lead AI Engineer to advance AI foundations, LLM core, and agentic AI in New York, NY onsite.

Responsibilities

Collaborate with a cross functional team of engineers, research scientists, technical program managers, and product managers to deliver AI powered products that reshape how associates work and how customers interact with Capital One.
Design, build, test, deploy, and maintain AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
Operate with a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
Develop and deploy state of the art LLM optimization techniques to improve scalability, cost, latency, and throughput for large scale production AI systems.
Contribute to the technical vision and long term roadmap of foundational AI systems at Capital One.

Technologies

AWS Ultraclusters
Huggingface
VectorDBs
Nemo Guardrails
PyTorch
Python
Go
Scala
Java

Team Description

The Intelligent Foundations and Experiences (IFX) team centers Capital One's AI vision, partnering across the company to push forward scientific and engineering advances. We build and deploy proprietary AI models and platforms that drive business value for millions of customers, empowering teams to enhance products with AI capabilities.

The Ideal Candidate

Enjoys building robust systems and takes pride in code quality, with a motivation to contribute to banking for good.
Keeps up with the latest research and can translate scientific publications into production ready techniques.
Adapts quickly, brings clarity to large, ill defined problems, asks incisive questions, and communicates findings concisely; willing to share new ideas even when not proven.
Deeply technical with a strong foundation in engineering and mathematics; expertise across hardware, software, and AI to spot optimization opportunities others may miss.
A resilient trailblazer who can forge new paths to meet business goals when the route is unknown.

Basic Qualifications

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
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

Preferred Qualifications

7 years of experience deploying scalable and responsible AI solutions on cloud platforms (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 such as LLM inference, similarity search and vector databases, guardrails, memory using Python, C++, C#, Java, or Golang
Experience optimizing training and inference software to improve hardware utilization, latency, throughput, and cost
Passion for staying current with AI research and systems, applying novel techniques in production when appropriate
Excellent communication and presentation skills to articulate complex AI concepts to peers

Compensation

Salary: USD 250,800 - 286,200 per year

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

Job Description