Sr Director, AI Engineering

Capital One Financial

Quick summary

Work type: On-site
Location: San Francisco, CAMcLean, VACambridge, MARichmond, VA
Salary: $286,200–$326,700 / yr
Posted: 8 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $209k

This role $306k

$152k most similar roles pay here $345k

This role pays more than 93% of similar roles. Most pay $170,995–$246,150 — the shaded band above. At the midpoint, this role pays about $306k 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 688 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 681 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Sr Director, AI Engineering

Role Posting Log in to save

As a Senior Director of AI Engineering, you will lead the design and development of advanced AI software components including foundation model training, large language model inference, similarity search, guardrails, and more. You will oversee testing, deployment, and support for these systems while making strategic build-vs-buy decisions across a wide range of open-source and SaaS technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and others. This role requires extensive experience in AI and ML development along with strong leadership skills to manage an engineering team effectively. Ideal candidates should possess deep technical expertise in Python, C++, or other relevant languages, and have a background in Computer Science, AI, Electrical Engineering, or related fields. The position involves working on large-scale projects that address complex business problems through cutting-edge AI solutions.

Skills

AWS Huggingface VectorDBs Nemo Guardrails PyTorch Python CI/CD PostgreSQL Kubernetes Docker Terraform Git Jenkins Prometheus Grafana

What you'll do

Oversee the design and development of AI software components including model training and inference.
Make strategic build-vs-buy decisions on Open Source and SaaS AI technologies.
Ensure deployment and support of AI systems across various platforms like AWS Ultraclusters.
Evaluate and implement governance and observability for AI models and experiments.
Lead an engineering team in managing AI projects and technology stacks.

What we're looking for

Bachelor's degree plus 10 years or Master's degree plus 8 years of experience in developing AI and ML technologies.
At least 5 years of leadership experience managing engineering teams.
Deep technical expertise in AI software components including model training, inference, and evaluation.
Experience making build-vs-buy decisions for Open Source and SaaS AI technologies.
Strong judgment skills across a broad stack of AI technologies like AWS Ultraclusters, Huggingface, VectorDBs.

Hybrid

Save

Senior Director, AI Engineering Productivity and Developer Experience

Cisco

Remote 3 days ago $337,100–$426,700

AI ML Codex Claude CLI AWS Azure GCP MLOps Cyber Security Network Security SASE SWG XDR SOAR Firewall Identity CI/CD Python R Java Kubernetes

Remote

Save