Sr. Lead AI Engineer (GenAI Platform)

Capital One; San Jose (CA); On-site; USD 250,800 - 286,200; Full time

Benefits offered by this job

Health and financial benefits

Inclusive work environment

Career growth opportunities

Job summary

Capital One is seeking a Senior Lead AI Engineer in San Jose, CA, to drive AI initiatives across the organization. This role involves collaborating with cross-functional teams to create advanced AI-powered products. The ideal candidate will have extensive experience in developing AI technologies, a strong programming background, and a passion for innovative solutions in banking. The position offers a competitive salary range of $250,800 – $286,200 and the opportunity to work in a dynamic environment focused on transformation through AI.

Qualifications

• 6+ years of experience developing AI and ML algorithms or technologies.
• Proficiency in programming with Python, Go, Scala, or Java.
• Experience deploying scalable AI solutions on cloud platforms.

Responsibilities

• Partner with cross-functional teams to deliver AI-powered products.
• Develop and support AI software components including model training.
• Contribute to the technical vision and roadmap of AI systems.

Skills

AI and ML algorithms

Python

Cloud platforms

Leadership

Education

Bachelor's degree in relevant field or Master's with experience

Tools

AWS

Google Cloud

Huggingface

PyTorch

Job description

Sr. Lead AI Engineer (GenAI Platform)

Overview

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. Our investments in technology infrastructure and world‑class talent — along with our deep experience in machine learning — position us to be at the forefront of enterprises leveraging AI. From informing customers about unusual charges to answering their questions in real time, our applications of AI & ML are bringing humanity and simplicity to banking. We are committed to continuing to build world‑class applied science and engineering teams to deliver our industry‑leading capabilities with breakthrough product experiences and scalable, high‑performance AI infrastructure. At Capital One you will help bring the transformative power of emerging AI capabilities to reimagine how we serve our customers and businesses.

Team Description

The Intelligent Foundations and Experiences (IFX) team is at the center of bringing our vision for AI at Capital One to life. We work hand‑in‑hand with partners across the company to advance the state of the art in science and AI engineering, and we build and deploy proprietary solutions that are central to our business and deliver value to millions of customers. Our AI models and platforms empower teams across Capital One to enhance their products with the transformative power of AI, in responsible and scalable ways for the highest leverage impact.

In this role, you will:

• 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.

The Ideal Candidate

• You love to build systems, take pride in the quality of your work, and share our passion to do the right thing. You want to work on problems that will help change banking for good.
• You are passionate about staying abreast of the latest research, and can intuitively understand scientific publications and judiciously apply novel techniques in production.
• You adapt quickly, thrive on bringing clarity to big, undefined problems, enjoy asking questions and digging deep to uncover the root of problems, and can articulate your findings concisely with clarity. You have the courage to share new ideas even when they are unproven.
• You are deeply technical with a strong foundation in engineering and mathematics, and your expertise in hardware, software, and AI enables you to see and exploit optimization opportunities that others miss.
• You are a resilient trailblazer who can forge new paths to achieve 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, OR a Master's degree in the same 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 (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.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Compensation

Cambridge, MA: $229,900 – $262,400
McLean, VA: $229,900 – $262,400
New York, NY: $250,800 – $286,200
San Francisco, CA: $250,800 – $286,200
San Jose, CA: $250,800 – $286,200

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

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non‑discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug‑free workplace. Capital One will consider qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.