This role pays more than
85%
of similar roles. Most pay
$162,000–$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.
As an AI Engineer 5 (GenAI Platform Services, Agentic Platform) within the Intelligent Foundations and Experiences team, you will develop high-performance AI infrastructure and proprietary solutions to enhance banking experiences. You will collaborate with cross-functional teams to design, test, and deploy software components including foundation model training, large language model inference, multi-agent workflows, similarity search, and guardrails. Your daily work involves optimizing production systems for scalability, cost, and latency while managing governance reviews for GPU utilization and model throughput. The role requires expertise in Python, Go, Scala, CUDA, or Java, alongside experience with PyTorch, Huggingface, VectorDBs, and AWS Ultraclusters. You will solve complex problems related to multi-model orchestration pipelines and integrate retrieval-augmented components into unified systems while mentoring other engineers to ensure technical consistency across the organization's AI engineering standards.
What does a AI Engineer earn in California?
Median $246150 from 73 postings across 11 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 corporate 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 high-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 using Python, C++, C#, Java, CUDA, or Golang (preferred).
Experience optimizing training and inference software to improve hardware utilization, latency, throughput, and cost (preferred).
Python
Go
Scala
CUDA
C++
Java
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Multi-agent Workflows
Model Optimization
Similarity Search
SaaS AI
Machine Learning