Build responsible, production-ready AI with Capital One’s Intelligent Foundations and Experiences (IFX) team. This AI Engineer 3 role in McLean, VA (onsite) focuses on designing, developing, deploying, and supporting AI systems that help associates work more effectively and support customer experiences.
In this position, you will help deliver foundation model training and LLM inference, multi-turn and tool-using agents, similarity search, guardrails, evaluation, experimentation, governance, observability, and optimization for scalable AI in real environments.
What you’ll do
- Work with a cross-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI-powered products across 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.
- Use a broad mix of Open Source and SaaS AI technologies, including AWS Ultraclusters, Huggingface, VectorDBs, PyTorch, and more.
- Develop 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 at Capital One.
- Lead development and benchmarking of multi-turn conversational and tool-using agent workflows with measurable performance and safety metrics.
- Build scalable pipelines for training, fine-tuning, and deploying foundation or domain-specific models across multiple environments.
- Partner with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies.
- Support governance and security needs, including model traceability, lineage documentation, and version control of deployed AI assets.
- Mentor junior AI engineers and promote engineering excellence, reproducibility, and responsible experimentation.
Requirements
- Bachelor’s degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 3 years of experience developing AI/ML algorithms or technologies, or a Master’s degree plus at least 1 year of experience developing AI/ML algorithms or technologies.
- At least 3 years of experience programming with Python, Go, Scala, CUDA, or Java.
Technology focus
- AWS Ultraclusters, Huggingface, VectorDBs, PyTorch
- Python, Go, Scala, CUDA, Java
- LLM Inference, Similarity Search, Guardrails, Memory
- Retrieval-augmented generation (RAG), vector database integrations, fine-tuning workflows
- Prompt-engineering (and related AI engineering toolchains)
- AWS, Google Cloud, Azure; also listed: C++, C#, Golang
Benefits
- Performance-based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
- A comprehensive, competitive, and inclusive set of health, financial, and other benefits that support your total well-being.
Team and mission
The Intelligent Foundations and Experiences (IFX) team brings Capital One’s AI vision to life. The team advances the state of the art in science and AI engineering through collaboration across the company, and builds and deploys proprietary solutions central to the business, delivering value to millions of customers. Their AI models and platforms enable teams to enhance products with the transformative power of AI in responsible and scalable ways.
Salary
McLean, VA: USD 161,800 - 184,600 per year.
Other notes: 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) committed to non-discrimination. Capital One promotes a drug-free workplace. If you need an accommodation to apply, contact Capital One Recruiting at 1-800-304-9102 or RecruitingAccommodation@capitalone.com.
