This role pays less than
69%
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
998 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 992 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. Key technologies include PyTorch, Huggingface, VectorDBs, Nemo Guardrails, and AWS Ultraclusters. Candidates must possess strong skills in Python, Go, Scala, or Java, alongside a deep understanding of mathematics and engineering. The work focuses on building responsible, scalable AI infrastructure to solve complex problems within the banking sector by creating high-performance systems that provide meaningful utility for millions of customers.
What does a AI Engineer earn in Virginia?
Median $246150 from 70 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.
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 novel techniques into practical production applications.
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.
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 like LLM Inference, Similarity Search, VectorDBs, and Guardrails 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).