This role pays less than
67%
of similar roles. Most pay
$162,000–$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.
Senior AI Engineer (AI Foundations) joins the Intelligent Foundations and Experiences team to develop and deploy proprietary AI solutions that enhance internal workflows and customer interactions. This role involves designing, testing, and supporting critical software components including foundation model training, large language model inference, similarity search, guardrails, and model evaluation. The engineer will implement state-of-the-art LLM optimization techniques to improve performance metrics like scalability, cost, latency, and throughput for production systems. The technical stack includes PyTorch, Huggingface, VectorDBs, Nemo Guardrails, and AWS Ultraclusters. Candidates must possess expertise in Python, Go, Scala, or Java, alongside a strong foundation in engineering and mathematics. This role focuses on the core infrastructure of banking technology by building scalable, high-performance AI systems to solve complex problems related to automated customer service and real-time information processing.
What does a AI Engineer earn in Virginia?
Median $246150 from 74 postings across 3 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.
Develop state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput.
Utilize a broad stack of open-source and SaaS technologies including Huggingface, VectorDBs, and PyTorch.
Contribute to the technical vision and long-term roadmap of foundational AI systems.
Translate scientific research into practical production techniques for large-scale AI infrastructure.
Build and deploy proprietary AI solutions that provide scalable value to customers and internal partners.
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.
4 years of 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 or technologies using Python, C++, C#, Java, or Golang (preferred).
Experience developing and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost (preferred).