This role pays more than
84%
of similar roles. Most pay
$160,937–$246,150
— the shaded band above.
At the midpoint, this role pays about
$246k
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
878 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 872 roles with salary data.
AI Engineer 5 (Gen AI Platform Services - Agentic AI) joins the Intelligent Foundations and Experiences team to develop and deploy proprietary AI solutions that enhance products for millions of customers. This role involves designing, testing, and supporting software components including foundation model training, large language model inference, multi-agent workflows, similarity search, guardrails, and observability. The engineer will optimize performance metrics like latency, throughput, and cost while leading governance reviews for GPU utilization and infrastructure efficiency. Key technologies include PyTorch, Huggingface, VectorDBs, AWS Ultraclusters, and programming languages such as Python, Go, Scala, CUDA, and Java. The position focuses on the technical challenge of building scalable, responsible AI systems by integrating LLMs and domain-specific models into unified production pipelines to solve complex problems in the banking sector through advanced agentic AI workflows and sophisticated model orchestration.
What does a AI Engineer earn in Virginia?
Median $246150 from 60 postings across 4 companies.
Develop and support AI components including foundation model training, LLM inference, agentic workflows, and similarity search.
Implement state-of-the-art optimization techniques to improve performance, scalability, cost, and latency of production AI systems.
Design and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models into unified systems.
Lead cost-performance governance reviews by tracking GPU utilization, model throughput, and inference efficiency.
Lead design councils to ensure technical consistency and compliance with established AI engineering standards.
Mentor senior engineers to foster cross-domain learning and improve organizational technical maturity.
Translate complex research papers into practical production techniques for large-scale banking applications.
What we're looking for
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 6 years of experience developing AI/ML algorithms.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 4 years of experience developing AI/ML algorithms.
At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java.
Experience leading development of AI systems with trade-offs regarding cost, latency, throughput, and accuracy (preferred).
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
Experience designing, developing, delivering, and supporting complex AI systems (preferred).
Experience developing AI/ML algorithms like LLM inference, similarity search, and vector databases using various programming languages (preferred).
Experience optimizing training and inference software to improve hardware utilization and performance (preferred).
Python
Go
Scala
CUDA
C++
Java
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Multi-agent Workflows
Model Optimization
Similarity Search
SaaS AI
Machine Learning
Python
Go
CUDA
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Agentic AI
Multi-agent Workflows
Similarity Search
Model Evaluation
Model Optimization
C++
Scala
Java
C#
Python
Go
CUDA
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Multi-agent Workflows
Similarity Search
C++
Scala
Java
C#
Model Optimization
Machine Learning
AI Engineering