below marketmost similar roles pay hereabove market
This role pays more than
83%
of similar roles. Most pay
$165,000–$246,150
— the blue band above.
At the midpoint, this role pays about
$246k
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
1917 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 1045 roles with salary data.
AI Engineer 5 (Gen AI Platform Services: Agentic AI, Guardrails, Evaluation) joins the Intelligent Foundations and Experiences team to develop responsible and reliable AI systems. You will design, develop, test, deploy, and support AI software components, including foundation model training, large language model inference, agents, multi-agent workflows, similarity search, guardrails, and model evaluation. The role involves inventing foundation model optimization techniques to improve performance, scalability, and cost for production systems. You will also lead cost-performance governance reviews and mentor other engineers. The technical stack includes Python, Go, Scala, CUDA, Java, C#, PyTorch, Huggingface, VectorDBs, and AWS Ultraclusters. This position solves complex problems regarding multi-model orchestration, integrating LLMs and domain-specific models into unified production pipelines while ensuring technical consistency and compliance with engineering standards.
What does a AI Engineer earn in California?
Median $246150 from 84 postings across 12 companies.
Design, develop, test, deploy, and support AI software components including LLM inference, agents, and multi-agent workflows.
Implement foundation model optimization techniques to improve scalability, cost, latency, and throughput of production 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 team design councils 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.
Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus 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
Agentic Workflows
Similarity Search
Model Optimization
Google Cloud
Azure