below marketmost similar roles pay hereabove market
This role pays more than
83%
of similar roles. Most pay
$183,912–$246,150
— the blue band above.
At the midpoint, this role pays about
$246k
versus about
$215k
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.
The AI Engineer 5 (MLX, Agentic AI, Gen AI platform Services) joins the Intelligent Foundations and Experiences team to develop proprietary AI solutions for banking. You will design, develop, test, and deploy AI software components, including foundation model training, large language model inference, agents, multi-agent workflows, similarity search, and guardrails. The role involves inventing optimization techniques for scalability, cost, and latency while leading cost-performance governance reviews and mentoring senior engineers. You will utilize a technical stack including AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, Python, Go, Scala, CUDA, and Java. This position solves complex business problems by integrating LLMs and domain-specific models into unified production pipelines, ensuring responsible AI deployment through standards for explainability, fairness, and human-in-the-loop review processes within a high-performance infrastructure.
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 foundation model training and LLM inference.
Build and optimize 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.
Lead cost-performance governance reviews to track GPU utilization, model throughput, 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 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 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).