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This listing doesn't post a salary. Most similar roles pay
$151,356–$230,100.
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
2204 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1138 roles with salary data.
The Senior AI Engineer joins the Intelligent Foundations and Experiences team to develop proprietary AI solutions that power banking products. You will partner with cross-functional teams to design, develop, test, deploy, and support AI software components. Key responsibilities include foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability. You will invent state-of-the-art LLM optimization techniques to improve performance, scalability, cost, latency, and throughput for large-scale production systems. The role requires proficiency with Python, Go, Scala, or Java, alongside experience with AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch. You will solve technical problems related to building responsible, scalable, and high-performance AI infrastructure to enhance customer interactions and internal workflows within a banking context.
What does a AI Engineer earn in New York?
Median $230875 from 74 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 features.
Utilize open-source and SaaS technologies such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch.
Invent and introduce state-of-the-art LLM optimization techniques to improve scalability, cost, latency, and throughput.
Contribute to the technical vision and long-term roadmap of foundational AI systems.
Develop and support scalable, responsible AI solutions on cloud platforms.
Apply novel techniques from scientific publications to production environments.
What we're looking for
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 3 years of AI/ML experience.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 1 year of AI/ML experience.
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/ML algorithms like LLM Inference, Similarity Search, and VectorDBs 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).