This role pays less than
65%
of similar roles. Most pay
$161,600–$246,150
— the shaded band above.
At the midpoint, this role pays about
$173k
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
1042 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1036 roles with salary data.
As a Senior AI Engineer on the Intelligent Foundations and Experiences team, you will collaborate with cross-functional partners to develop and deploy proprietary AI solutions that enhance internal workflows and customer interactions. You will design, test, and support critical software components including foundation model training, large language model inference, similarity search, guardrails, and observability. The role involves implementing state-of-the-art LLM optimization techniques to improve performance metrics like latency, throughput, and cost for production systems. You will utilize a technical stack featuring PyTorch, Huggingface, VectorDBs, Nemo Guardrails, and AWS Ultraclusters. Required skills include proficiency in Python, Go, Scala, or Java, alongside expertise in machine learning algorithms. This role focuses on building scalable, responsible AI infrastructure to solve complex problems within the banking sector by creating high-performance systems for real-time customer experiences.
What does a AI Engineer earn in New York?
Median $245450 from 81 postings across 10 companies.
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 for production systems.
Utilize a stack of open-source and SaaS technologies including Huggingface, VectorDBs, PyTorch, and AWS Ultraclusters.
Develop 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.
Translate scientific research and publications into practical, high-performance production AI solutions.
What we're looking for
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI and ML algorithms or technologies.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 1 year of experience developing AI and ML algorithms or technologies.
At least 3 years of experience programming with Python, Go, Scala, or Java.
Experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
Experience developing, delivering, and supporting AI services (preferred).
Experience developing AI and ML algorithms using Python, C++, C#, Java, or Golang (preferred).
Experience applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost (preferred).