This role pays more than
53%
of similar roles. Most pay
$142,500–$214,000
— the shaded band above.
At the midpoint, this role pays about
$173k
versus about
$178k
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
878 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 872 roles with salary data.
As an AI Engineer 3 (AI Foundations) on the Intelligent Foundations and Experiences team, you will develop and deploy proprietary AI solutions that power core business functions and customer interactions. You will collaborate with cross-functional teams to design, test, and support software components including foundation model training, large language model inference, multi-agent workflows, similarity search, guardrails, and model evaluation. Your daily work involves implementing scalable pipelines for fine-tuning models and optimizing performance metrics like latency, throughput, and cost. You will utilize a technical stack featuring PyTorch, Huggingface, VectorDBs, and AWS Ultraclusters while programming in Python, Go, Scala, CUDA, or Java. The role focuses on solving complex problems in the banking domain by building high-performance AI infrastructure to provide personalized experiences and automated tools for customers and internal associates.
What does a AI Engineer earn in Virginia?
Median $246150 from 60 postings across 4 companies.
Develop and deploy AI software components including foundation model training, LLM inference, and multi-agent workflows.
Implement optimization techniques to improve performance, scalability, cost, latency, and throughput for large-scale production systems.
Build scalable pipelines for training, fine-tuning, and deploying domain-specific models across multiple environments.
Develop and benchmark multi-turn conversational and tool-using agent workflows using measurable safety metrics.
Collaborate with data teams to curate high-quality datasets and improve model evaluation methodologies.
Manage governance and security efforts including model traceability, lineage documentation, and version control.
Mentor junior engineers and advocate for engineering excellence and reproducible experimentation.
What we're looking for
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 3 years of experience developing AI/ML algorithms.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 1 year of experience developing AI/ML algorithms.
At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java.
Experience contributing to development of components of AI systems with tradeoff decisions around cost, latency, throughput and accuracy (preferred).
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 using Python, C++, C#, Java, CUDA, 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).
Python
Go
CUDA
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Distributed Systems
C++
Java
Scala
C#
Machine Learning
Multi-agent Workflows
Similarity Search
Model Evaluation
Observability
Python
Go
CUDA
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Multi-agent Workflows
Similarity Search
C++
Scala
Java
C#
Model Optimization
Machine Learning
AI Engineering
Python
Go
CUDA
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Agentic AI
Distributed Systems
C++
Java
Scala
C#
Machine Learning
Model Evaluation
Similarity Search
Python
Go
CUDA
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Agentic AI
Distributed Systems
C++
Java
Scala
C#
Machine Learning
Model Optimization
Similarity Search
SaaS
Python
Go
CUDA
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Agentic AI
Distributed Systems
C++
Java
Scala
C#
Machine Learning
Model Evaluation
Similarity Search
SaaS