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This listing doesn't post a salary. Most similar roles pay
$197,312–$246,150.
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
2253 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1137 roles with salary data.
The AI Engineer 5 (AI Foundations) joins the Intelligent Foundations and Experiences team to develop responsible, scalable AI systems for banking. You will partner with cross-functional teams to design, develop, test, and deploy AI software components, including foundation model training, large language model inference, agents, multi-agent workflows, similarity search, and guardrails. Key responsibilities include inventing optimization techniques for performance, scalability, and cost, as well as leading cost-performance governance reviews and mentoring senior engineers. You will utilize a technical stack featuring AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, Python, Go, Scala, CUDA, and Java. This role solves complex problems by integrating LLMs and domain-specific models into unified production pipelines, ensuring technical consistency, compliance with engineering standards, and high-performance infrastructure for real-time customer experiences.
What does a AI Engineer earn in California?
Median $246150 from 106 postings across 18 companies.
Design, develop, test, deploy, and support AI software components including foundation model training and LLM inference.
Implement multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models into unified systems.
Invent and introduce state-of-the-art optimization techniques to improve scalability, cost, latency, and throughput of production AI.
Establish and lead cost-performance governance reviews tracking GPU utilization, model throughput, and inference cost efficiency.
Lead team design councils and review boards to ensure technical consistency and compliance with AI engineering standards.
Mentor Principal and Manager-level AI engineers to foster cross-domain learning and elevate organizational technical maturity.
Contribute to the technical vision and long-term roadmap of foundational AI systems.
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 and ML algorithms or technologies.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 4 years of experience developing AI and ML algorithms or technologies.
At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java.
Experience leading development of AI systems with tradeoff decisions around cost, latency, throughput, and accuracy (preferred).
7 years of experience deploying scalable and responsible AI solutions on cloud platforms (preferred).
Experience developing AI and 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 to improve hardware utilization, latency, throughput, and cost (preferred).
Experience in building agentic AI systems and agentic workflows (preferred).
Python
Go
Scala
CUDA
Java
C++
C#
PyTorch
AWS
Huggingface
VectorDBs
LLM Inference
Multi-agent workflows
Similarity Search
Model Evaluation
Google Cloud
Azure
Python
Go
Scala
CUDA
Java
C++
C#
PyTorch
AWS
Huggingface
VectorDBs
LLM Inference
Similarity Search
Multi-agent workflows
Model Optimization
Google Cloud
Azure
Model Evaluation
Observability
Python
Go
Scala
CUDA
Java
C++
C#
PyTorch
Huggingface
AWS
Google Cloud
Azure
VectorDBs
LLM Inference
Similarity Search
Multi-agent workflows
Model Optimization
Observability