AI Engineer 4, AI Foundations

Capital One Financial

Confirmed live yesterday Low trust

Quick summary

Work type: On-site
Location: San Jose, CAMcLean, VACambridge, MASan Francisco, CANew York, NY
Employment: Full-time
Posted: 34 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

How this pay compares to similar roles

Similar $202k

$187k $230k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $192,050–$211,200.

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 2107 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 1107 roles with salary data.

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At a glance

TL;DR · AI Engineer 4, AI Foundations

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The AI Engineer 4 (AI Foundations) joins the Intelligent Foundations and Experiences team to develop responsible, scalable AI systems for banking. You will partner with cross-functional teams to design, develop, test, and deploy AI software components, including foundation model training, large language model inference, agents, multi-agent workflows, similarity search, and guardrails. Key responsibilities include owning end-to-end architecture, defining service-level objectives for reliability, and optimizing GPU/TPU utilization. You will utilize a technical stack featuring AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, Python, Go, Scala, CUDA, and Java. The role focuses on solving complex technical problems by inventing optimization techniques to improve performance, cost, and latency for production AI systems while ensuring ethical alignment, data governance, and security across foundational AI platforms.

What does a AI Engineer earn in California?

Median $246150 from 100 postings across 17 companies.

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Skills

Python Go Scala CUDA Java C++ C# PyTorch AWS Huggingface VectorDBs LLM Inference Distributed Systems Model Evaluation Observability GPU TPU

What you'll do

Design, develop, test, deploy, and support AI software components including foundation model training and LLM inference.
Implement agents, multi-agent workflows, similarity search, guardrails, and model evaluation systems.
Develop state-of-the-art optimization techniques to improve scalability, cost, latency, and throughput of production AI systems.
Own the end-to-end architecture for complex AI systems to ensure maintainability, observability, and ethical alignment.
Define and maintain service-level objectives for AI reliability, including latency, uptime, and model performance drift.
Optimize GPU/TPU utilization and accelerate model inference pipelines in collaboration with infrastructure engineering.
Lead technical reviews for new AI deployments to ensure security, data governance, and compliance standards.
Mentor senior associates on scalable design, performance tuning, and translating research into production.

What we're looking for

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field plus 4 years of AI/ML experience.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field plus 2 years of AI/ML experience.
At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java.
Experience leading development of AI systems with tradeoff decisions around cost, latency, throughput, and accuracy (preferred).
6 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
Experience developing AI and ML algorithms using Python, C++, C#, Java, CUDA, or Golang (preferred).
Experience developing and applying state-of-the-art techniques for optimizing training and inference software (preferred).
Experience in building agentic AI systems and agentic workflows (preferred).

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