Distinguished AI Engineer

Capital One Financial

Confirmed live today Low trust

Quick summary

Work type
On-site
Location
San Francisco, CAMcLean, VASan Jose, CARichmond, VANew York, NY
Employment
Full-time
Posted
56 days ago
Freshness
Confirmed live today

Market check

Salary context

How this pay compares to similar roles

Similar $208k
$140k $276k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $162,000–$254,925.

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 · Distinguished AI Engineer

JOB TITLE: Distinguished AI Engineer The Distinguished AI Engineer joins the Intelligent Foundations and Experiences team to advance the state of the art in science and AI engineering. This role involves designing, developing, testing, deploying, and supporting AI software components, including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. You will invent state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput for large scale production AI systems. The position requires proficiency with Python, Go, Scala, Java, C++, and C#, alongside tools like AWS Ultraclusters, Huggingface, VectorDBs, and Nemo Guardrails. You will solve complex technical problems by building proprietary solutions that empower teams to deliver responsible, scalable, and high-performance AI infrastructure for banking products.

What does a AI Engineer earn in California?

Median $246150 from 100 postings across 17 companies.

See salary data

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.
  • Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput.
  • Leverage open-source and SaaS technologies such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.
  • Contribute to the technical vision and long-term roadmap of foundational AI systems.
  • Deliver AI-powered products that enhance internal workflows and customer interactions.

What we're looking for

  • Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 8 years of experience developing AI and ML algorithms.
  • Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 6 years of experience developing AI and ML algorithms.
  • 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).
  • Experience developing and applying state-of-the-art techniques for optimizing training and inference software (preferred).

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