AI Engineer 4

Join Capital One’s Intelligent Foundations and Experiences (IFX) team to build responsible, reliable AI systems that support associates and improve experiences for customers. In this onsite role in McLean, VA, you will help design, develop, deploy, and operate foundational AI capabilities such as foundation model training, LLM inference, agents and workflows, similarity search, guardrails, evaluation, governance, and observability.

What you’ll do

• Partner with engineers, research scientists, technical program managers, and product managers to deliver AI-powered products that change how work gets done and how customers interact with Capital One.
• Design, develop, test, deploy, and support AI software components across the lifecycle, 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 including AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch, among others.
• Drive state-of-the-art foundation model optimization techniques to improve production performance across scalability, cost, latency, and throughput.
• Contribute to the technical vision and long-term roadmap for foundational AI systems.
• Own end-to-end architecture for complex AI systems with a focus 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/TPU utilization and accelerate model inference pipelines.
• Lead cross-functional technical reviews for new AI 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.

Core 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 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.

Tools and technologies you may work with

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

Benefits

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

Additional information

• Capital One will consider sponsoring a new qualified applicant for employment authorization.
• Salary range (annual): USD 197,300 - 225,100 for McLean, VA.
• Eligible for performance based incentive compensation, which may be discretionary or non-discretionary depending on the plan.
• This role is expected to accept applications for a minimum of 5 business days.
• No agencies please.
• Capital One is an equal opportunity employer (EOE, including disability/vet) and promotes a drug-free workplace.
• For accommodations, contact Capital One Recruiting at 1-800-304-9102 or [email protected]. For technical support or recruiting questions, email [email protected].