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This listing doesn't post a salary. Most similar roles pay
$196,562–$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
2276 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1147 roles with salary data.
The AI Engineer 5 (AI Foundations, LLM Core and Agentic AI) joins the Intelligent Foundations and Experiences team to develop proprietary AI solutions central to banking operations. You will design, develop, test, and deploy AI software components, including foundation model training, large language model inference, agents, multi-agent workflows, similarity search, guardrails, and model evaluation. Key responsibilities include inventing optimization techniques for scalability, cost, and latency, and managing multi-model orchestration pipelines. You will utilize a technical stack featuring AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, Python, Go, Scala, CUDA, and Java. This role solves complex problems in production AI systems by integrating LLMs and domain-specific models into unified pipelines while establishing cost-performance governance and mentoring other engineers to ensure technical consistency and compliance with engineering standards.
What does a AI Engineer earn in California?
Median $246150 from 108 postings across 18 companies.
Design, develop, test, and deploy AI software components including foundation model training and LLM inference.
Build and support agentic 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.
Design and optimize multi-model orchestration pipelines integrating LLMs, vector search, and domain-specific models.
Lead cost-performance governance reviews to track GPU utilization and inference cost efficiency.
Establish technical standards and lead design review boards to ensure consistency in AI engineering.
Mentor Principal and Manager-level AI engineers to elevate organizational technical maturity.
What we're looking for
Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 6 years of AI/ML experience.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 4 years of AI/ML experience.
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 like LLM Inference, Similarity Search, and VectorDBs using Python, C++, C#, Java, CUDA, or Golang (preferred).
Experience in building agentic AI systems and agentic workflows (preferred).
Experience architecting and integrating heterogeneous AI systems into unified production pipelines (preferred).
Python
Go
Scala
CUDA
Java
C++
C#
PyTorch
Huggingface
AWS
Google Cloud
Azure
VectorDBs
LLM Inference
Agentic AI
Distributed Systems
Model Evaluation
Observability
Data Governance
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
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