Senior Director, AI Engineering Agentic AI Platform

Capital One Financial

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
San Jose, CA
Salary
$343,400–$392,000 / yr
Posted
5 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $226k
This role $368k
$159k most similar roles pay here $417k

This role pays more than 98% of similar roles. Most pay $184,187–$268,500 — the shaded band above. At the midpoint, this role pays about $368k versus about $226k 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 1042 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1036 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Director, AI Engineering Agentic AI Platform

As Senior Director, AI Engineering -Agentic AI Platform, you will join the Intelligent Foundations and Experiences team to develop responsible and reliable AI systems for the banking industry. You will lead a cross-functional team of engineers and scientists to oversee the design, development, testing, and deployment of critical software components including foundation model training, large language model inference, similarity search, guardrails, and model evaluation. Your daily work involves making build-vs-buy decisions across a stack featuring AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch. You will invent LLM optimization techniques to improve performance metrics like latency and throughput while establishing the long-term roadmap for foundational AI systems. The role focuses on solving complex technical challenges in high-performance infrastructure to provide scalable, automated solutions that enhance how customers interact with financial products and services.

What you'll do

  • Oversee the design, development, testing, deployment, and support of AI software components including LLM inference and guardrails.
  • Make high-judgment build-vs-buy decisions regarding open-source and SaaS AI technologies like Huggingface and VectorDBs.
  • Implement state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput of production systems.
  • Define the technical vision and long-term roadmap for foundational AI systems at Capital One.
  • Lead a cross-functional team of engineers and scientists to deliver AI-powered products for customers and internal associates.
  • Recruit, retain, and mentor top talent in the AI industry while fostering a culture of continuous learning.
  • Translate complex scientific research into practical, production-ready techniques to solve large, undefined problems.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, or AI plus 10 years of experience developing or leading AI/ML technologies.
  • Master's degree in Computer Science, Engineering, or a related technical field plus 8 years of experience developing or leading AI/ML technologies.
  • At least 5 years of people leadership experience.
  • 7 years of experience managing and leading an engineering team (preferred).
  • 8 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
  • Experience developing AI and ML algorithms including LLM inference, similarity search, vector databases, and guardrails (preferred).
  • Master's degree in Computer Science, Computer Engineering, or a relevant technical field (preferred).
  • Excellent communication skills to articulate complex AI concepts to peers (preferred).

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