AI Engineer: LLM Fine-Tuning & RL

Requirements:

• Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related discipline, plus at least 4 years of experience building AI and ML algorithms or technologies; or a Masters degree in one of these fields plus at least 2 years of relevant experience
• At least 4 years of programming experience with Python, Go, Scala, CUDA, or Java
• Experience leading the development of AI systems with trade-offs among cost, latency, throughput, and accuracy
• 6 years of experience deploying scalable, responsible AI solutions on cloud platforms such as AWS, Google Cloud, Azure, or comparable private cloud environments
• Experience designing, developing, delivering, and supporting AI services
• Experience developing AI and ML technologies such as LLM inference, similarity search, vector databases, guardrails, or memory using Python, C++, C#, Java, CUDA, or Golang
• Experience applying advanced techniques to optimize training and inference software for better hardware utilization, latency, throughput, and cost
• Experience building agentic AI systems and agentic workflows
• Strong interest in current AI research and the ability to evaluate and apply new methods thoughtfully in production
• Experience designing distributed systems for model training, evaluation, and online inference at petabyte scale
• Experience defining AI model governance processes, including reproducibility, lineage tracking, and automated retraining schedules
• Demonstrated ability to influence architectural decisions across multiple AI product lines or platforms

Responsibilities:

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that improve how our associates work and how our customers interact with Capital One
• Design, build, 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
• Use open-source and SaaS AI technologies such as AWS Ultraclusters, Hugging Face, vector databases, PyTorch, and related tools
• Develop and introduce advanced foundation model optimization approaches to improve scalability, cost, latency, and throughput in large-scale production AI systems
• Help shape the technical vision and long-term roadmap for foundational AI systems at Capital One
• Own end-to-end architecture for complex AI systems, with attention to maintainability, observability, and ethical alignment
• Define and maintain service-level objectives for AI reliability, including latency, uptime, and model performance drift
• Work with infrastructure engineering to improve GPU/TPU utilization and speed up model inference pipelines
• Lead cross-functional technical reviews for new AI system deployments to ensure security, data governance, and compliance requirements are met
• Mentor Principal and Senior Associates on scalable architecture, performance tuning, and translating research into production solutions

Technologies:

• Agentic AI
• AI
• AWS
• Azure
• C#
• Cloud
• CUDA
• Golang
• Hardware
• Support
• Java
• LLM
• Model Training
• PyTorch
• Python
• Scala
• Security
• Machine Learning

More

We are building responsible and reliable AI systems that are changing banking for good. Our Intelligent Foundations and Experiences team sits at the center of our AI vision, working closely with partners across the company to advance the state of the art in science and AI engineering. We build and deploy proprietary solutions that support millions of customers and help teams across Capital One enhance their products in responsible, scalable ways. This role offers a competitive salary range by location, eligibility for performance-based incentive compensation, and a comprehensive set of health, financial, and other benefits that support total well-being. We also consider sponsorship for a new qualified applicant for employment authorization for this position.

last updated 43 week of 2026