This role pays more than
60%
of similar roles. Most pay
$139,000–$207,000
— the shaded band above.
At the midpoint, this role pays about
$173k
versus about
$173k
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 an AI Engineer 3 on the Intelligent Foundations and Experiences team, you will develop and deploy proprietary AI solutions that power core business functions and enhance 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, and guardrails. Your daily work involves optimizing performance metrics like latency, throughput, and cost while implementing pipelines for fine-tuning models across various environments. You will utilize a technical stack featuring PyTorch, Huggingface, VectorDBs, and AWS Ultraclusters. The role requires proficiency in Python, Go, Scala, CUDA, or Java to solve complex problems in the banking domain. You will also contribute to governance, model evaluation methodologies, and the long-term roadmap for scalable, high-performance AI infrastructure and production systems.
What does a AI Engineer earn in California?
Median $246150 from 70 postings across 11 companies.
Design, develop, test, and deploy AI software components including foundation model training and LLM inference.
Implement multi-turn conversational and tool-using agent workflows with measurable performance and safety metrics.
Develop scalable pipelines for training, fine-tuning, and deploying domain-specific models across multiple environments.
Apply optimization techniques to improve the performance, cost, latency, and throughput of large-scale production AI systems.
Build infrastructure for similarity search, vector databases, guardrails, and model evaluation.
Collaborate with data engineering 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 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 and supporting AI services (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
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
Distributed Systems
C++
Java
Scala
C#
Machine Learning
Agentic 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
Scala
CUDA
C++
C#
Java
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Multi-agent Workflows
Model Evaluation
Model Optimization
Machine Learning