Senior AI Foundations & LLM Orchestration Engineer

Capital One National Association; San Jose (CA); On-site; USD 251,000 - 286,000; Full time

Job summary

Capital One is seeking an AI Engineer 5 to advance AI foundations and VLM customization, building production-grade AI systems that power real-time customer experiences.

You will collaborate with engineers, scientists, PMs, and managers to train, evaluate, and deploy AI components, optimize performance and cost, and contribute to governance and ethical AI standards across large-scale deployments.

Qualifications

• 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 or technologies, or a 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 or technologies
• At least 6 years of experience programming with Python, Go, Scala, CUDA, or Java

Responsibilities

• Partner with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how our associates work and how our customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability, etc.
• Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
• Invent and introduce state-of-the-art foundation model optimization techniques to improve the performance - scalability, cost, latency, throughput - of large scale production AI systems.
• Contribute to the technical vision and the long term roadmap of foundational AI systems at Capital One.
• Design, implement and optimize multi-model orchestration pipelines - integrating LLMs, vector search, and domain-specific models into unified systems
• Establish and lead cost-performance governance reviews across AI systems, tracking GPU utilization, model throughput, and inference cost efficiency
• Lead team design councils or design review boards to ensure technical consistency and compliance with AI engineering standards
• Mentor Principal and Manager-level AI engineers, fostering cross-domain learning and elevating organizational technical maturity

Skills

Python

Go

Scala

CUDA

Java

Education

Bachelor's degree in Computer Science / AI / Electrical Engineering / Computer Engineering

Master's degree in Computer Science / AI / Electrical Engineering / Computer Engineering

Tools

AWS

Google Cloud

Azure

Job description

Capital One is seeking an AI Engineer 5 to advance AI foundations and VLM customization, building production-grade AI systems that power real-time customer experiences.

You will collaborate with engineers, scientists, PMs, and managers to train, evaluate, and deploy AI components, optimize performance and cost, and contribute to governance and ethical AI standards across large-scale deployments.