This role pays more than
92%
of similar roles. Most pay
$162,000–$251,000
— the shaded band above.
At the midpoint, this role pays about
$306k
versus about
$206k
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
1554 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 796 roles with salary data.
Senior Staff AI Engineer - Agentic AI Platform joins the Intelligent Foundations and Experiences team to develop advanced AI systems for banking services. This role involves partnering with cross-functional teams to design, develop, test, and deploy critical software components including foundation model training, large language model inference, multi-agent workflows, similarity search, guardrails, and observability. The engineer will implement state-of-the-art optimization techniques to improve performance metrics like scalability, cost, latency, and throughput for production systems while establishing enterprise standards for safety and transparency. Key technologies include PyTorch, Huggingface, VectorDBs, AWS Ultraclusters, and programming languages such as Python, Go, Scala, CUDA, and Java. The position focuses on building a cohesive architecture to manage the model lifecycle and integrate research breakthroughs into scalable production environments to solve complex problems in automated customer interactions and internal workflows.
What does a AI Engineer earn in California?
Median $246150 from 78 postings across 11 companies.
Design, develop, and support AI software components including LLM inference, multi-agent workflows, and guardrails.
Implement state-of-the-art optimization techniques to improve performance, scalability, cost, and latency of 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.
Translate complex AI research breakthroughs into reliable, scalable production ecosystems.
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 building agentic AI systems and agentic workflows (preferred).
Remote (San Francisco, CA)+410 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
Remote (San Francisco, CA)+48 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