AI Engineer (Remote Eligible)

About the Company

At Capital One, we are committed to transforming the banking experience through innovative and responsible AI systems. As an industry leader, we have a long-standing history of leveraging machine learning to deliver real-time, personalized customer interactions. Our substantial investments in cutting-edge technology infrastructure and world-class talent position us at the forefront of enterprise AI adoption. Our applications of AI and machine learning range from alerting customers about unusual charges to providing instant answers to their inquiries, all aimed at bringing simplicity and humanity to banking. We are dedicated to building world-class applied science and engineering teams that develop breakthrough products and scalable, high-performance AI infrastructure, ultimately reimagining how we serve our customers and businesses.

About the Role

The Staff AI Engineer role at Capital One offers an exciting opportunity to contribute to our AI-driven initiatives. You will be a key member of the Intelligent Foundations and Experiences (IFX) team, which is central to realizing our AI vision. This team collaborates closely with cross-functional partners across the organization to advance scientific research and develop proprietary AI solutions that deliver value to millions of customers.

Your responsibilities will include designing, developing, testing, deploying, and supporting AI software components such as foundation model training, large language model inference, similarity search, guardrails, model evaluation, and governance. You will work with a broad stack of open-source and SaaS AI technologies, including AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch, among others. Your expertise will help introduce state-of-the-art optimization techniques to enhance the performance, scalability, cost-efficiency, latency, and throughput of large-scale AI systems. Additionally, you will contribute to shaping the technical vision and long-term roadmap for foundational AI systems at Capital One, ensuring the continued leadership and innovation in this space.

Responsibilities

• Partner with cross-disciplinary teams including engineers, research scientists, program managers, and product managers to develop AI-powered products that enhance customer experience and operational efficiency
• Design, develop, test, deploy, and support AI software components such as foundation models, large language models, similarity search, and observability tools
• Utilize a diverse set of open-source and SaaS AI technologies to build robust AI systems
• Invent and implement state-of-the-art optimization techniques for large-scale AI models to improve performance metrics such as latency, throughput, and cost
• Contribute to the strategic vision and long-term roadmap of AI infrastructure and foundational models at Capital One
• Ensure AI solutions adhere to responsible AI principles, including fairness, transparency, and governance
• Mentor junior engineers and promote best practices in AI engineering and research

Qualifications

• Bachelor's degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience developing AI and ML algorithms or technologies
• Master's degree in a relevant field plus at least 6 years of experience in AI/ML development
• Proficiency in programming with Python, Go, Scala, or Java, with a minimum of 8 years of experience
• Experience deploying scalable AI solutions on cloud platforms such as AWS, Google Cloud, or Azure
• Strong understanding of AI system architecture, model training, inference, and optimization techniques
• Proven ability to lead and mentor engineering teams and influence cross-functional stakeholders
• Excellent communication skills with the ability to articulate complex AI concepts clearly
• Demonstrated passion for staying current with AI research and applying innovative techniques in production environments

Benefits

• Competitive salary aligned with experience and location
• Performance-based incentives, including cash bonuses and long-term incentives
• Comprehensive health, dental, and vision insurance plans
• Financial wellness programs and retirement savings options
• Flexible work arrangements, including remote work eligibility
• Generous paid time off and holiday leave
• Opportunities for professional development and continuous learning
• Inclusive and diverse workplace culture