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

Capital One Financial

Quick summary

Work type: On-site
Location: San Jose, CA · McLean, VA · Cambridge, MA · New York, NY
Salary: $197,300–$225,100 / yr
Posted: 123 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $212k

This role $211k

$166k most similar roles pay here $269k

This role pays less than 52% of similar roles. Most pay $175,700–$248,512 — the shaded band above. At the midpoint, this role pays about $211k versus about $212k 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 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

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View all roles at Capital One Financial

At a glance

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

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As a Senior Software Engineer on the Cloud Security team, you will play a pivotal role in developing and maintaining robust security solutions for our cloud infrastructure. Your day-to-day responsibilities include designing scalable systems to protect against cyber threats, integrating security features into existing applications, and collaborating with cross-functional teams to ensure compliance with industry standards. You should be proficient in Python, Java, or Go, have hands-on experience with Kubernetes and AWS services, and possess a strong understanding of cybersecurity principles. This role requires expertise in threat modeling, vulnerability assessments, and incident response strategies within the context of large-scale cloud environments.

Skills

Python Docker Kubernetes AWS CI/CD PostgreSQL Redis Git Terraform Prometheus Grafana

What you'll do

Develop and maintain high-quality software applications.
Analyze user requirements to design efficient solutions.
Implement robust testing protocols for application validation.
Optimize system performance through continuous improvement.
Troubleshoot complex technical issues in real-time environments.

What we're looking for

Minimum of 5 years experience in software development and engineering.
Proficiency in multiple programming languages such as Java, Python, and C++.
Strong background in cloud technologies like AWS or Azure.
Experience with DevOps tools including Docker, Kubernetes, and Jenkins.
Bachelor’s degree in Computer Science or related technical field required.

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