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This listing doesn't post a salary. Most similar roles pay
$185,375–$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
2229 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1126 roles with salary data.
The AI Engineer 5 (Gen AI Platform Services) joins the Intelligent Foundations and Experiences team to develop proprietary AI solutions that power core business functions. You will design, develop, test, and deploy AI software components, including foundation model training, large language model inference, multi-agent workflows, similarity search, and guardrails. The role involves optimizing performance for scalability, cost, and latency while establishing cost-performance governance and mentoring other engineers. You will utilize a technical stack including AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, Python, Go, Scala, CUDA, and Java. This position addresses the technical challenge of building responsible, scalable, and high-performance AI infrastructure, specifically focusing on integrating LLMs and domain-specific models into unified production pipelines to enhance customer interactions and internal workflows.
What does a AI Engineer earn in California?
Median $246150 from 105 postings across 18 companies.
Design, develop, test, and deploy AI software components including foundation model training and LLM inference.
Build and support multi-agent workflows, similarity search, guardrails, and model evaluation systems.
Implement state-of-the-art optimization techniques to improve scalability, cost, latency, and throughput of production AI systems.
Design and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models.
Establish and lead cost-performance governance reviews to track GPU utilization and inference cost efficiency.
Lead design 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 technical maturity.
What we're looking for
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 6 years of experience developing AI and ML algorithms.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 4 years of experience developing AI and ML algorithms.
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 designing, developing, delivering, and supporting complex AI systems (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 (preferred).
Python
Go
Scala
CUDA
Java
C++
C#
PyTorch
AWS
Huggingface
VectorDBs
LLM Inference
Similarity Search
Multi-agent workflows
Model Optimization
Google Cloud
Azure
Python
Go
Scala
CUDA
Java
C++
C#
PyTorch
AWS
Huggingface
VectorDBs
LLM Inference
Similarity Search
Multi-agent workflows
Model Evaluation
Observability
Google Cloud
Azure
Python
Go
Scala
CUDA
Java
C++
C#
PyTorch
Huggingface
AWS
VectorDBs
LLM Inference
Agentic Workflows
Similarity Search
Model Optimization
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