This role pays more than
85%
of similar roles. Most pay
$183,323–$254,562
— the shaded band above.
At the midpoint, this role pays about
$262k
versus about
$219k
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.
Staff AI Engineer joins the Intelligent Foundations and Experiences team to develop and deploy proprietary AI solutions that enhance customer interactions and internal workflows. 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 also establish enterprise-wide architecture standards, optimize performance for scalability and cost, and lead technical roadmaps for foundational systems. Key technologies include PyTorch, Huggingface, VectorDBs, AWS Ultraclusters, and programming languages such as Python, Go, Scala, CUDA, C++, C#, and Java. The position focuses on the banking domain, specifically building responsible, high-performance AI infrastructure to solve complex problems regarding real-time personalization and automated customer service while ensuring transparency and fairness in large-scale production systems.
What does a AI Engineer earn in California?
Median $246150 from 78 postings across 12 companies.
Develop and support AI software 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.
Design and integrate model routing, caching, and orchestration systems for hybrid and multi-model workloads.
Establish enterprise-wide AI architecture standards for tooling, observability, and deployment across multiple teams.
Integrate responsible AI principles including transparency, reproducibility, and fairness into all system designs.
Translate recent scientific research into practical production techniques to solve complex technical problems.
Lead internal education and mentorship through architecture councils and AI guilds.
What we're looking for
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 8 years of experience developing AI/ML algorithms.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 6 years of experience developing AI/ML algorithms.
At least 8 years of experience programming with Python, Go, Scala, CUDA, or Java.
Experience designing AI systems with tradeoff decisions around cost, latency, throughput, and accuracy (preferred).
8 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 VP level (preferred).
Experience developing AI/ML algorithms using Python, C++, C#, Java, CUDA, or Golang (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
Remote (San Francisco, CA)+45 days ago
$286,200–$326,700
Machine Learning
LLM Inference
Python
Go
Scala
CUDA
Java
C++
C#
PyTorch
Huggingface
VectorDBs
AWS
Google Cloud
Azure
Model Evaluation
Agentic Workflows
Similarity Search