Senior AI Engineer: Foundation Models & AI Infra

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

Job summary

Capital One is seeking an AI Engineer to build responsible AI systems and scalable ML platforms. You will partner with cross-functional teams to deliver AI-powered products, from foundation model training to inference, with a focus on observability and governance.

You will work across a broad stack (AWS, Huggingface, PyTorch, VectorDBs) and contribute to the roadmap for foundational AI systems, while mentoring others and ensuring ethical alignment and security in deployments.

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
• At least 4 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 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 programming

AI system design & deployment

Cloud platforms (AWS/GCP/Azure)

Leadership in AI projects

Education

Bachelor's degree in CS/AI/EE/CE or related field

Master's degree in CS/AI/EE/CE or related field

Tools

CUDA

Job description

Capital One is seeking an AI Engineer to build responsible AI systems and scalable ML platforms. You will partner with cross-functional teams to deliver AI-powered products, from foundation model training to inference, with a focus on observability and governance.

You will work across a broad stack (AWS, Huggingface, PyTorch, VectorDBs) and contribute to the roadmap for foundational AI systems, while mentoring others and ensuring ethical alignment and security in deployments.