Senior Lead AI Engineer

Capital One Financial

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: New York, NYSan Francisco, CAMcLean, VACambridge, MASan Jose, CA
Salary: $229,900–$262,400 / yr
Posted: 9 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $204k

This role $246k

$150k most similar roles pay here $274k

This role pays more than 85% of similar roles. Most pay $162,000–$246,150 — the shaded band above. At the midpoint, this role pays about $246k versus about $204k 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 998 open roles on FindRole.

Listed pay typically runs $197,300–$225,100 across 992 roles with salary data.

Most-posted roles

View all roles at Capital One Financial

At a glance

TL;DR · Senior Lead AI Engineer

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Senior Lead AI Engineer (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) joins the Intelligent Foundations and Experiences team to develop proprietary solutions for responsible and scalable AI systems. This role involves collaborating with cross-functional teams to design, develop, test, deploy, and support critical software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. The engineer will implement state-of-the-art LLM optimization techniques to improve performance metrics like scalability, cost, latency, and throughput for production systems. Key technologies include Python, Go, Scala, Java, C++, C#, PyTorch, Huggingface, VectorDBs, Nemo Guardrails, and AWS Ultraclusters. The position focuses on solving complex technical challenges in the banking sector by building high-performance AI infrastructure to enhance how associates work and customers interact with financial services through advanced machine learning capabilities.

Skills

LLM Python Go Scala Java C++ PyTorch Huggingface AWS VectorDBs Nemo Guardrails Similarity Search Machine Learning Model Evaluation Observability

What you'll do

Design, develop, test, and deploy AI software components including foundation model training and LLM inference.
Implement guardrails, model evaluation, experimentation, governance, and observability for production AI systems.
Develop and integrate similarity search and vector databases into scalable AI solutions.
Apply state-of-the-art optimization techniques to improve performance, cost, latency, and throughput of large-scale systems.
Contribute to the technical vision and long-term roadmap of foundational AI systems.
Translate complex scientific research and novel techniques into practical production applications.
Lead and mentor an engineering team while influencing cross-functional stakeholders.

What we're looking for

Bachelor's degree in Computer Science, AI, Electrical Engineering, or related fields with at least 6 years of experience developing AI/ML algorithms.
Master's degree in Computer Science, AI, Electrical Engineering, or related fields with at least 4 years of experience developing AI/ML algorithms.
At least 6 years of experience programming with Python, Go, Scala, or Java.
Experience deploying scalable and responsible AI solutions on cloud platforms like AWS, Google Cloud, or Azure.
Experience designing, developing, and supporting complex AI systems including LLM inference, similarity search, and guardrails.
Experience applying state-of-the-art techniques to optimize training and inference software for hardware utilization, latency, throughput, and cost.
Demonstrated ability to lead and mentor an engineering team and influence cross-functional stakeholders.
Excellent communication skills with the ability to articulate complex AI concepts clearly to peers.

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