Senior Engineer - Generative AI Product Engineering; Remote-Eligible

Overview

We are looking for an experienced Senior Generative AI Engineer to help build and maintain APIs and SDKs to train, fine‑tune and access AI models  will work as part of our Enterprise AI team and build systems that will enable our users to work with Large‑Language Models (LLMs) and Foundation Models (FMs), using our public cloud infrastructure. You will work with a team of world‑class AI engineers and researchers to design and implement key API products and services that enable real‑time customer‑facing applications.

Capital One is open to hiring a Remote Employee for this opportunity.

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

• Architect, build and deploy well‑managed core APIs and SDKs to access LLMs and our proprietary FMs including training, fine‑tuning and prompting tasks, including orchestration SDKs.
• Design APIs for performance, real‑time applications, scale, ease of use and governance automation.
• Develop application‑specific interfaces that leverage LLMs and FMs to continue to enhance the associate and customer experience.
• Enable our users to build new GenAI capabilities.
• Develop tools and processes to monitor API access patterns and operational health.
• Design and implement AI safety and guardrails in the API layer working closely with researchers.

• Bachelor’s degree in Computer Science, Computer Engineering or a technical field.
• At least 4 years of experience designing, building and deploying ML application platforms.
• At least 4 years of experience programming with Python, Go, Scala, or Java.
• At least 1 year of experience building, scaling, and optimizing training or inferencing systems for deep neural networks.

• Familiarity with building large‑scale AI products or platforms for NLP, speech, computer vision, or recommendation systems serving millions of users.
• Ability to move fast in an environment with ambiguity at times, and with competing priorities and deadlines.
• Experience at tech and product‑driven companies/startups preferred.
• Ability to iterate rapidly with researchers and engineers to improve a product experience while building the foundational capabilities.
• Familiarity with deploying large neural network models in demanding production environments.
• Have experience with API security, observability, cloud access control and privacy best practices.

New York City (Hybrid On‑Site): $165,100 - $188,500 for Senior Machine Learning Engineer.

San Francisco, California (Hybrid On‑Site): $174,900 - $199,700 for Senior Machine Learning Engineer.

Remote (Regardless of Location): $140,000 - $159,800 for Senior Machine Learning Engineer.

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being. Eligibility varies based on full or part‑time status, exempt or non‑exempt status, and management level.

No agencies please. Capital One is an equal opportunity employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex (including pregnancy, childbirth or related medical conditions), race, color, age,…