Senior AI Engineer: Scalable ML Systems & LLM Ops

Capital One National Association; New York (NY); On-site; USD 215,000 - 246,000; Full time

Job summary

Capital One in New York, NY is seeking an experienced AI Engineer to help build responsible AI systems across the enterprise. You will design and deploy AI software components, including foundation model training and inference, while leading scalable architecture and governance for production systems.

You will collaborate with engineers, researchers, and product teams to optimize performance, latency, and cost, leveraging tools like PyTorch and VectorDBs.

Qualifications

• Bachelor'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; or Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 2 years.
• At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java.
• Experience leading development AI systems with tradeoff decisions around cost, latency, throughput and accuracy.
• 6 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud).
• Experience designing, developing, delivering, and supporting AI services.
• Experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C++, C#, Java, CUDA, or Golang.
• Experience developing and applying state‑of‑the‑art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
• Experience in building agentic AI systems and agentic workflows.
• Proficiency in designing distributed systems for model training, evaluation, and online inference at petabyte scale.
• Experience defining AI model governance processes, including producibility, lineage tracking, and automated retaining schedules.
• Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms.

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.
• Own the end‑to‑end architecture for complex AI systems - ensuring maintainability, observability, and ethical alignment
• Define and maintain service‑level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift
• Collaborate with infrastructure engineering to optimize GPU/TPU utilization and accelerate model inference pipelines
• Lead cross‑functional technical reviews for new AI system deployments, ensuring security, data governance, and compliance standards are met
• Mentor Principal and Senior Associates on scalable design, performance tuning and research‑to‑production translation

Skills

Python

Go

Scala

CUDA

Java

Education

Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Master's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields

Tools

AWS

Google Cloud

Azure

HuggingFace

PyTorch

VectorDBs

CUDA

Job description

Capital One in New York, NY is seeking an experienced AI Engineer to help build responsible AI systems across the enterprise. You will design and deploy AI software components, including foundation model training and inference, while leading scalable architecture and governance for production systems.

You will collaborate with engineers, researchers, and product teams to optimize performance, latency, and cost, leveraging tools like PyTorch and VectorDBs.