Lead AI Engineer (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)

Capital One Financial

Quick summary

Work type: On-site
Location: San Jose, CA · San Francisco, CA · McLean, VA · Cambridge, MA · New York, NY
Salary: $197,300–$225,100 / yr
Posted: 79 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $211k

This role $211k

$166k most similar roles pay here $268k

This role pays less than 51% of similar roles. Most pay $176,000–$246,150 — the shaded band above. At the midpoint, this role pays about $211k versus about $211k 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 (Gen AI Platform, Agentic AI & LLM Infrastructure & Orchestration)

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As a Lead AI Engineer on the Gen AI Platform team, you will oversee the development and orchestration of advanced agentic AI systems and large language model (LLM) infrastructure. Your day-to-day responsibilities include designing scalable solutions for complex AI challenges, collaborating with cross-functional teams to integrate cutting-edge technologies, and ensuring robust performance and reliability in a high-scale environment. The role requires expertise in Python, TensorFlow, PyTorch, Kubernetes, and cloud services like AWS or Azure. Ideal candidates possess extensive experience in natural language processing (NLP), machine learning model deployment, and AI system architecture. This position plays a crucial role in advancing the company’s mission to deliver innovative AI solutions that address real-world business problems at scale.

Skills

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

What you'll do

Lead the design and development of agentic AI systems and large language model (LLM) infrastructure.
Ensure robust orchestration of AI workflows to enhance platform efficiency and scalability.
Implement advanced natural language processing techniques for improved AI capabilities.
Stay updated with cutting-edge AI technologies and integrate new innovations into existing platforms.
Mentor junior engineers and foster a collaborative environment focused on AI advancements.

What we're looking for

Extensive experience in AI and machine learning.
Proficient in developing and deploying large language models (LLMs).
Expertise in agentic AI systems and infrastructure orchestration.
Strong background in gen AI platform development and maintenance.
Experience with cloud-based AI solutions and scalable architectures.

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