Senior Lead AI Engineer

Capital One is pursuing responsible, reliable AI systems through its Gen AI Platform Services and Agentic AI initiatives. The Senior Lead AI Engineer role centers on building and deploying AI/ML systems, including foundation model training, LLM inference, guardrails, governance, and observability, to deliver AI-powered products for customers and associates. You will collaborate with cross-functional teams to shape how our associates work and how customers interact with Capital One.

Responsibilities

• Collaborate with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that transform 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.
• Leverage a broad stack of open source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent and apply state-of-the-art LLM optimization techniques to enhance scalability, cost, latency, and throughput in large-scale production AI systems.
• Contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One.

Requirements

• Educational background: a Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields with at least 6 years of AI/ML algorithm or technology development experience, or a Master’s degree in the same fields with at least 4 years of experience.
• 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 applying novel techniques in production.
• Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers.

Technologies

• AWS Ultraclusters
• Huggingface
• VectorDBs
• Nemo Guardrails
• PyTorch
• Python
• Go
• Scala
• Java
• C++
• C#
• Golang

Benefits

• Health, financial and other benefits

Overview

Capital One is building responsible and reliable AI systems that aim to change banking for good. The company has long been an industry leader in using machine learning to create real-time, personalized customer experiences. Investments in technology infrastructure and world-class talent position Capital One at the forefront of enterprises adopting AI, empowering teams to deliver with speed and safety across the business.

Team Description

The Intelligent Foundations and Experiences (IFX) team sits at the core of bringing Capital One's AI vision to life. We collaborate with partners across the company to advance the state of the art in AI science and engineering, building and deploying proprietary solutions central to the business and delivering value to millions of customers. Our AI models and platforms empower teams to enhance products with the transformative power of AI.

The Ideal Candidate

• You love to build systems, take pride in the quality of your work, and share a commitment to doing the right thing. You aim to tackle problems that can change banking for good.
• You stay current with the latest AI research and can quickly interpret scientific publications to judiciously apply novel techniques in production.
• You adapt quickly and bring clarity to large, undefined problems. You ask questions, dig deep to uncover root causes, and communicate findings concisely. You have the courage to share new ideas, even when unproven.
• You are deeply technical, with a strong foundation in engineering and mathematics. Your hardware, software, and AI expertise enable you to spot optimization opportunities others miss.
• You are a resilient trailblazer who can forge new paths to achieve business goals when the route is unknown.