Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)

Capital One Financial

Quick summary

Work type: On-site
Location: Cambridge, MA
Salary: $197,300–$225,100 / yr
Posted: 36 days ago

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $211k

This role $211k

$166k most similar roles pay here $269k

This role pays less than 51% of similar roles. Most pay $176,000–$246,150 — the shaded band above. At the midpoint, this role pays about $211k versus about $211k 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 498 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 495 roles with salary data.

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View all roles at Capital One Financial

At a glance

TL;DR · Lead AI Engineer (AI Foundations, LLM Customization and Finetuning)

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As a Lead AI Engineer at Capital One, you will join an innovative team focused on developing responsible AI systems that enhance both internal operations and customer interactions within the banking sector. Your primary responsibilities include collaborating with cross-functional teams to design and implement advanced AI solutions such as large language model customization, similarity search, vector databases, and guardrails. You will leverage Python, C++, Java, or Golang to build scalable and efficient AI services while ensuring high-quality standards are met. Ideal candidates possess a deep technical background in AI/ML algorithm development and cloud platform experience with AWS, Google Cloud, or Azure. This role demands expertise in optimizing training and inference software for optimal hardware utilization and cost efficiency, alongside a commitment to staying current with cutting-edge AI research and practices.

Skills

Python AWS Google Cloud Azure LLM Inference Similarity Search VectorDBs Guardrails Memory Java Golang CI/CD

What you'll do

Design and implement AI systems using Python, C++, Java, or Golang.
Customize and fine-tune large language models for specific applications.
Develop and optimize training and inference software to enhance hardware efficiency.
Apply state-of-the-art techniques in AI research to production environments.
Ensure the reliability and responsibility of AI systems through rigorous testing.

What we're looking for

At least 4 years of experience developing AI and ML algorithms or technologies.
Bachelor's degree plus 4 years of relevant experience, or Master's degree plus 2 years.
Proficient programming skills in Python, Go, Scala, or Java.
Experience with cloud platforms like AWS, Google Cloud, Azure.
Expertise in designing and delivering AI services and optimizing training software.

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