AI Engineer 3

Capital One is hiring an AI Engineer 3 in San Jose, CA (onsite) to help build responsible and scalable AI systems. This role focuses on foundation model training, LLM inference, agent workflows, evaluation, governance, and observability, with cross-functional collaboration to deliver AI-powered products.

Key Responsibilities

• Partner with a cross-functional team across engineering, research science, technical program management, and product to deliver AI-powered products that support how associates work and how customers engage with Capital One.
• Design, develop, test, deploy, and support AI software components across 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 AI technologies, including AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch, along with additional Open Source and SaaS tools.
• Develop state-of-the-art foundation model optimization techniques to improve scalability, cost, latency, and throughput in production AI systems.
• Help shape 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.
• Implement scalable pipelines for training, fine-tuning, and deploying foundation or domain-specific models across multiple environments.
• Collaborate with research and data engineering teams to curate high-quality datasets and improve model evaluation methodologies.
• Support governance and security initiatives for model traceability, lineage documentation, and version control of deployed AI assets.
• Mentor junior AI engineers and promote engineering excellence, reproducibility, and responsible experimentation.

Required Qualifications

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or a related field plus at least 3 years of experience developing AI/ML algorithms or technologies; or a Master's degree in a related field 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.

Technologies

• AWS Ultraclusters
• Huggingface
• VectorDBs
• PyTorch
• Python, Go, Scala, CUDA, Java
• Google Cloud, Azure
• C++, C#, Golang
• AWS
• Retrieval-augmented generation (RAG)

Team Description

The Intelligent Foundations and Experiences (IFX) team is central to delivering Capital One's AI vision. The team partners across the company to advance science and AI engineering, and builds and deploys proprietary solutions that support business value for millions of customers. Its AI models and platforms enable teams across Capital One to enhance products with responsible, scalable AI for high leverage impact.

Benefits

• Comprehensive, competitive, and inclusive health, financial, and other benefits supporting overall well-being.
• Performance based incentive compensation eligibility, which may include cash bonuses and/or long term incentives (LTI).

Workplace and Process Statements

• Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
• The minimum and maximum full-time annual salary ranges for this role by location include: San Jose, CA: $176,500 - $201,400.
• This role is eligible for performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).
• 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 in compliance with applicable federal, state, and local laws.
• Capital One promotes a drug-free workplace.
• Capital One will consider applicants with a criminal history in a manner consistent with applicable laws.
• If you need an accommodation, 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 is made up of several entities; posting location may correspond to different entities (e.g., Canada, United Kingdom, Philippines).