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

Capital One Financial

Quick summary

Work type
On-site
Location
New York, NYMcLean, VACambridge, MASan Jose, CA
Salary
$229,900–$262,400 / yr
Posted
7 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $209k
This role $246k
$162k most similar roles pay here $273k

This role pays more than 83% of similar roles. Most pay $172,375–$246,150 — the shaded band above. At the midpoint, this role pays about $246k versus about $209k for comparable roles.

Based on 240 similar postings.

Employer

About Capital One Financial

Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking

Capital One Financial currently has 814 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 809 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Senior Lead AI Engineer (AI Foundations, LLM Core and Agentic AI)

As a Lead AI Engineer at COPSSC, you will join a dynamic team of data scientists and engineers dedicated to advancing our cutting-edge machine learning solutions. Your primary responsibilities include designing and implementing complex AI models, optimizing existing systems for better performance, and collaborating with cross-functional teams to integrate advanced analytics into new products. You will work extensively with Python, TensorFlow, and PyTorch, leveraging cloud platforms like AWS and Azure for scalable deployments. This role requires expertise in natural language processing, computer vision, and deep learning frameworks, as well as a strong understanding of the healthcare industry's data privacy regulations and ethical considerations.

What you'll do

  • Design and implement advanced machine learning models to solve complex business problems.
  • Optimize existing algorithms for efficiency and scalability across various platforms.
  • Conduct research on cutting-edge AI technologies and integrate them into projects.
  • Develop predictive analytics solutions to enhance decision-making processes.
  • Mentor junior engineers in AI principles and best practices.

What we're looking for

  • Minimum 5 years of experience in software engineering and machine learning.
  • Strong background in Python and other programming languages relevant to data science.
  • Experience with cloud platforms like AWS, Azure, or Google Cloud for deploying ML models.
  • Proven track record of leading technical projects from conception to deployment.
  • Excellent communication skills for interfacing with cross-functional teams.

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