This role pays more than
94%
of similar roles. Most pay
$169,425–$252,893
— the shaded band above.
At the midpoint, this role pays about
$306k
versus about
$211k
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
939 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 936 roles with salary data.
Senior Staff AI Engineer joins the Intelligent Foundations and Experiences team to develop and deploy proprietary solutions that power core business functions. This role involves designing, testing, and supporting AI software components including foundation model training, large language model inference, multi-agent workflows, similarity search, guardrails, and observability. The engineer will invent optimization techniques for performance, scalability, cost, and latency while establishing enterprise standards for safety and transparency. Key technical requirements include proficiency in Python, Go, Scala, CUDA, or Java, alongside experience with PyTorch, Huggingface, VectorDBs, and AWS Ultraclusters. The position focuses on the core challenge of integrating advanced research into production ecosystems to create reliable, high-performance AI infrastructure for banking services. You will mentor technical leaders and drive multi-year initiatives to unify data, compute, and model lifecycle management under a cohesive architecture.
What does a AI Engineer earn in California?
Median $246150 from 78 postings across 12 companies.
Design, develop, and deploy AI software components including foundation model training, LLM inference, and multi-agent workflows.
Implement state-of-the-art optimization techniques to improve performance, scalability, cost, and latency 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 applied research breakthroughs into production ecosystems with high reliability and scale.
What we're looking for
Bachelor's degree in Computer Science, AI, Electrical Engineering, or related fields plus 10 years of experience developing AI/ML algorithms, or a Master's degree plus 8 years of experience.
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).
Experience developing and applying state-of-the-art techniques for optimizing training and inference software (preferred).
Remote (San Francisco, CA)+43 days ago
$286,200–$326,700
Machine Learning
Python
Go
Scala
CUDA
C++
Java
PyTorch
Huggingface
VectorDBs
AWS
Google Cloud
Azure
LLM Inference
Agentic Workflows
Similarity Search
Model Evaluation
Observability