As a Lead AI Engineer at Capital One, you will play a crucial role in designing, developing, and deploying cutting-edge AI and machine learning models, including large language models and agentic AI systems. This position allows you to collaborate with diverse teams to create scalable and ethical AI solutions that significantly improve banking products and customer experiences.
At Capital One, we're committed to revolutionizing banking through responsible and advanced AI systems. With extensive investments in technology infrastructure and talent, we’re at the forefront of enterprise AI applications. From real-time customer support to personalized financial guidance, our work makes banking more human and straightforward.
Team Overview :
The Intelligent Foundations and Experiences (IFX) team leads our AI vision at Capital One, collaborating closely across the organization. We focus on pushing the boundaries of AI science and building proprietary solutions that add value for millions of customers. Our models enable different teams within Capital One to enhance their offerings responsibly and effectively.
Key Responsibilities :
- Work with a collaborative team of engineers, scientists, and product managers to develop AI-powered products that transform customer interactions and team workflows.
- Design, develop, test, deploy, and support AI software components, including model training, inference methods, and system governance.
- Utilize a wide array of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, and PyTorch.
- Innovate LLM optimization techniques to enhance large-scale AI system performance—including scalability and cost efficiency.
- Contribute to the strategic vision and roadmap for foundational AI systems at Capital One.
Ideal Candidate Profile :
You have a passion for developing robust systems and a commitment to quality and ethical AI solutions that aim to improve banking practices.You stay updated with the latest research and can effectively apply novel techniques in real-world applications.You possess adaptability in navigating complex problems, proactively seeking solutions and articulating your insights clearly.Your technical depth encompasses both engineering and mathematics, allowing you to identify optimization opportunities in AI projects.You are a resilient innovator, eager to explore new paths to achieve business objectives.Basic Qualifications :
Bachelor's degree in Computer Science, AI, Electrical Engineering, or a related field along with a minimum of 3 years of AI / ML development experience, or a Master's degree with at least 1 year of relevant experience.Proficiency in programming languages such as Python, Go, Scala, or Java for at least 3 years.Preferred Qualifications :
At least 4 years of experience implementing scalable AI solutions on cloud platforms (AWS, Google Cloud, Azure, etc.)Experience in developing and maintaining AI services and algorithms, including LLM inference and similarity search.Proficiency in optimizing training and inference software for better hardware utilization and cost-effectiveness.This role is located at our offices in Cambridge, MA; McLean, VA; New York, NY; San Francisco, CA; and San Jose, CA, with competitive salaries ranging from $158,600 to $197,400 based on location and qualifications.
We offer performance incentives and a comprehensive benefits package that supports your well-being. Capital One values a diverse and inclusive workplace and is committed to equal opportunity employment.