This role pays more than
99%
of similar roles. Most pay
$174,500–$246,150
— the shaded band above.
At the midpoint, this role pays about
$337k
versus about
$210k
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
836 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 829 roles with salary data.
As a Sr. Staff AI Engineer on the Intelligent Foundations and Experiences team, you will partner with cross-functional teams to develop and deploy proprietary AI solutions that enhance internal workflows and customer interactions. You will design, test, and support critical software components including foundation model training, large language model inference, multi-agent workflows, similarity search, guardrails, and observability. The role involves implementing state-of-the-art optimization techniques to improve performance metrics like latency, throughput, and cost for production systems while establishing enterprise-wide standards for safety and transparency. You will utilize a technical stack including PyTorch, Huggingface, VectorDBs, and AWS Ultraclusters. Required skills include proficiency in Python, Go, Scala, CUDA, or Java. This role addresses the challenge of integrating advanced research into scalable, reliable production environments to provide high-performance AI infrastructure for banking services.
What does a AI Engineer earn in Virginia?
Median $246150 from 55 postings across 4 companies.
Design, develop, and deploy AI 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.
Define the technical architecture and long-term roadmap for foundational AI systems across the enterprise.
Establish company-wide standards for AI performance, safety, transparency, and governance.
Lead multi-year platform initiatives to unify data, compute, and model lifecycle management.
Mentor senior technical leaders across research, data, and engineering disciplines to build future leadership.
Integrate advanced research breakthroughs into production ecosystems with high reliability and scale.
What we're looking for
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 10 years of experience developing AI/ML algorithms.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 8 years of experience developing AI/ML algorithms.
At least 10 years of experience programming with Python, Go, Scala, CUDA, or Java.
Experience architecting AI platforms with tradeoff decisions around cost, latency, throughput, and accuracy (preferred).
9 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
Experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems (preferred).
Demonstrated ability to lead and mentor multiple engineering teams and influence cross-functional stakeholders up to the SVP level (preferred).
Experience developing AI/ML algorithms using Python, C++, C#, Java, CUDA, or Golang (preferred).
Python
Go
CUDA
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Distributed Systems
C++
Java
Scala
C#
Machine Learning
Agentic Workflows
Similarity Search
Model Evaluation
Observability
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
Scala
CUDA
C++
C#
Java
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Multi-agent Workflows
Model Evaluation
Model Optimization
Machine Learning