Lead AI Engineer (Gen AI Platform Services)

About the role

At Capital One, we are creating responsible and reliable AI systems, changing banking for good. The Intelligent Foundations and Experiences (IFX) team builds and deploys proprietary AI solutions that empower teams across the company to enhance products with transformative AI in responsible and scalable ways.

Responsibilities

• Partner with a cross‑functional team of engineers, research scientists, technical program managers, and product managers to deliver AI‑powered products that change how associates work and how 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, Hugging Face, VectorDBs, Nemo Guardrails, PyTorch, and more.
• Invent and introduce state‑of‑the‑art LLM optimization techniques to improve performance — scalability, cost, latency, throughput — of large‑scale production AI systems.
• Contribute to the technical vision and long‑term roadmap of foundational AI systems at Capital One.

Requirements

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field plus ≥4 years of experience developing AI/ML algorithms or technologies; OR Master's degree in same fields plus ≥2 years of experience developing AI/ML algorithms or technologies.
• At least 4 years of experience programming with Python, Go, Scala, or Java.

Qualifications

• 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (AWS, Google Cloud, Azure, or equivalent private cloud).
• Experience designing, developing, delivering, and supporting AI services.
• Experience developing AI/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 judiciously applying novel techniques in production.

Skills

Strong foundation in engineering and mathematics; expertise in hardware, software, and AI enabling identification of optimization opportunities; resilience and trail‑blazing mindset to forge new paths when routes are unknown; ability to ask probing questions, dig deep to root causes, and articulate findings clearly.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits that support total well‑being.

Pay

• Cambridge, MA: $197,300 – $225,100 for Lead AI Engineer
• McLean, VA: $197,300 – $225,100 for Lead AI Engineer
• New York, NY: $215,200 – $245,600 for Lead AI Engineer
• San Francisco, CA: $215,200 – $245,600 for Lead AI Engineer
• San Jose, CA: $215,200 – $245,600 for Lead AI Engineer