Staff AI Engineer, Enterprise Analysis Platform

Capital One Financial

Confirmed live yesterday Low trust

Remote

Quick summary

Work type: Remote
Location: San Francisco, CAMcLean, VACambridge, MASan Jose, CANew York, NY
Employment: Full-time
Posted: 60 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 $211k

$159k $267k

below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $170,712–$251,000.

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 · Staff AI Engineer, Enterprise Analysis Platform

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JOB TITLE: Staff AI Engineer - Enterprise Analysis Platform (Remote Eligible) The Staff AI Engineer - Enterprise Analysis Platform joins the Intelligent Foundations and Experiences team to build a new AI native platform for enterprise-wide data analysis. You will partner with cross-functional teams to design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, similarity search, guardrails, and observability. The role involves inventing state-of-the-art LLM optimization techniques to improve performance, scalability, cost, and latency for production systems. You will utilize a technical stack including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch. Required skills include proficiency in Python, Go, Scala, or Java, alongside experience with machine learning algorithms. This role solves the business problem of transforming data analysis by intertwining deterministic code with non-deterministic reasoning systems.

What does a AI Engineer earn in California?

Median $246150 from 100 postings across 17 companies.

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Skills

Python Go Scala Java C++ C# PyTorch Huggingface AWS Google Cloud Azure VectorDBs Nemo Guardrails LLM Inference Similarity Search Machine Learning

What you'll do

Design, develop, test, deploy, and support AI software components including foundation model training and LLM inference.
Implement similarity search, guardrails, model evaluation, experimentation, governance, and observability systems.
Utilize open-source and SaaS technologies such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.
Invent and introduce state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput.
Contribute to the technical vision and long-term roadmap of foundational AI systems.
Apply novel techniques from scientific publications to production environments to solve complex, undefined problems.

What we're looking for

Bachelor's degree in Computer Science, Engineering, or AI plus 8 years of experience developing AI and ML algorithms or technologies.
Master's degree plus 6 years of experience developing AI and ML algorithms or technologies.
At least 8 years of experience programming with Python, Go, Scala, or Java.
8 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems (preferred).
Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the VP level (preferred).
Experience developing AI and ML algorithms using Python, C++, C#, Java, or Golang (preferred).
Master's degree in Computer Science, Computer Engineering, or relevant technical field (preferred).

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