AI Engineer 4

Capital One is hiring an AI Engineer 4 in New York, NY (onsite) to build and deploy responsible, scalable AI systems that support banking experiences for associates and customers. The role collaborates across engineering, research, program management, and product to deliver end-to-end AI architectures, performant model solutions, and reliable operations.

Responsibilities

• Partner with cross-functional teams of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how associates work and how 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.
• Apply Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and related tooling.
• Develop state-of-the-art foundation model optimization techniques to improve performance in production environments, including scalability, cost, latency, and throughput.
• Help shape the technical vision and long-term roadmap for foundational AI systems.
• Own end-to-end architecture for complex AI systems, focusing on maintainability, observability, and ethical alignment.
• Define and maintain service-level objectives (SLOs) for AI reliability, including latency, uptime, and model performance drift.
• Coordinate 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 addressed.
• Mentor Principal and Senior Associates on scalable system design, performance tuning, and research-to-production translation.

Requirements

• 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 a Master’s degree plus at least 2 years of experience developing AI and ML algorithms or technologies.
• At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java.
• At least 4 years of experience developing AI and ML algorithms or technologies.

Technologies

• AWS Ultraclusters, Huggingface, VectorDBs, PyTorch
• Python, Go, Scala, CUDA, Java
• Google Cloud, Azure, C++, C#, Golang
• GPU/TPU

Preferred Qualifications

• Experience leading development of AI systems with tradeoff decisions around cost, latency, throughput, and accuracy.
• 6+ years of experience deploying scalable and responsible AI solutions on cloud platforms such as 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 building and applying state-of-the-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost.
• Experience 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.

Compensation

Salary: USD 215,200 - 245,600 per year.

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial, and other benefits designed to support your total well-being.