AI Engineer 4

Capital One’s Intelligent Foundations and Experiences (IFX) team is building responsible, reliable AI systems that support how associates work and how customers interact with Capital One. In this role, you will design, develop, deploy, and support foundational AI capabilities across the AI lifecycle.

Role Summary

As an AI Engineer 4 on the IFX team, you will help create foundational AI systems, including foundation model training, LLM inference, agents and workflows, similarity search, guardrails, evaluation, governance, and observability.

Key Responsibilities

• Partner with cross-functional teams including engineers, research scientists, technical program managers, and product managers to deliver AI-powered products.
• Design, develop, test, deploy, and support AI software components covering foundation model training, large language model inference, agents and multi-agent workflows, similarity search, guardrails, model evaluation, experimentation, governance, and observability.
• Apply a broad stack of Open Source and SaaS AI technologies, including AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and additional tools.
• Develop state-of-the-art foundation model optimization techniques to improve scalability, cost, latency, and throughput for large-scale production AI systems.
• Contribute to the technical vision and long-term roadmap for foundational AI systems at Capital One.
• 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.
• Collaborate with infrastructure engineering to optimize GPU and 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.

Required Qualifications

• Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 4 years of experience developing AI/ML algorithms or technologies, or a Master’s degree plus at least 2 years of experience developing AI/ML algorithms or technologies.
• At least 4 years of experience programming with Python, Go, Scala, CUDA, or Java.

Technologies

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

Team Overview

• The Intelligent Foundations and Experiences (IFX) team brings Capital One’s AI vision to life.
• The team partners across the company to advance the state of the art in science and AI engineering, and to build and deploy proprietary solutions central to business value.
• AI models and platforms support teams across Capital One by enabling responsible and scalable AI enhancements with high leverage impact.

Benefits and Incentives

• Health, financial, and other benefits supporting total well-being.
• Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).

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 an equivalent private cloud.
• Experience designing, developing, delivering, and supporting AI services.
• Experience developing AI and ML algorithms or technologies (for example: LLM inference, similarity search and VectorDBs, guardrails, memory) using Python, C++, C#, Java, CUDA, or Golang.
• Experience 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.

Additional Information

• Location: McLean, VA (onsite)
• Salary range: USD 197,300 - 225,100 per year
• Capital One may sponsor authorization for a new qualified applicant for employment authorization for this position.
• Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI).
• Expected application acceptance window: minimum of 5 business days.

Employment and Accessibility Notes

• No agencies please.
• Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.
• Capital One promotes a drug-free workplace.
• Capital One will consider qualified applicants with a criminal history in a manner consistent with applicable laws regarding criminal background inquiries.
• If you require an accommodation related to applying, contact Capital One Recruiting at 1-800-304-9102 or [email protected].
• For technical support or questions about the recruiting process, email [email protected].
• Capital One does not provide, endorse, or guarantee third-party products, services, educational tools, or other information available through this site.
• Capital One Financial includes multiple entities; posted positions may be tied to specific entities by country or region.