AI Engineer (Remote Eligible)

About The Company Capital One is a leading financial services organization dedicated to transforming banking through innovative technology and responsible AI systems. With a long-standing reputation for leveraging machine learning and data-driven solutions, Capital One has established itself as an industry leader in delivering personalized, real-time customer experiences. The company’s significant investments in cutting-edge technology infrastructure, coupled with a world-class talent pool, position it at the forefront of enterprise AI adoption. Capital One’s commitment to responsible AI practices ensures that its solutions are scalable, transparent, and fair, fostering trust and reliability among its customers. The organization continually strives to reimagine banking by integrating emerging AI capabilities into its products and services, making banking more human-centric, accessible, and efficient.

About The Role The Staff AI Engineer role at Capital One offers an exciting opportunity to be part of the core team responsible for advancing the company’s AI and machine learning capabilities. This remote-eligible position involves designing, developing, and deploying scalable AI systems that impact millions of customers and internal stakeholders. As a key member of the Intelligent Foundations and Experiences (IFX) team, you will collaborate with cross-functional teams including research scientists, engineers, product managers, and technical program managers to build innovative AI solutions. Your work will focus on foundation model training, large language model inference, multi-agent workflows, and responsible AI governance. You will also influence the technical vision and long-term roadmap for enterprise-wide AI architecture, ensuring the deployment of responsible, fair, and transparent AI systems. This role provides an excellent platform for a highly technical individual passionate about pushing the boundaries of AI technology and making a tangible difference in the banking industry.

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 relevant fields plus at least 6 years of experience in AI/ML development
• Minimum of 8 years programming experience with Python, Go, Scala, CUDA, or Java
• Deep understanding of AI and ML system design, optimization, and deployment
• Experience with cloud platforms such as AWS, Google Cloud, Azure, or private clouds
• Proven leadership in guiding engineering teams and influencing enterprise AI strategies
• Strong foundation in mathematics, hardware, and software engineering principles
• Excellent communication skills to articulate complex AI concepts to diverse stakeholders

Responsibilities

• Partner with interdisciplinary teams to deliver AI-powered products that enhance customer experience and operational efficiency
• Design, develop, test, and support AI software components including foundation models, large language models, similarity search, and governance tools
• Leverage open-source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch
• Innovate and implement state-of-the-art foundation model optimization techniques to improve system performance, scalability, and cost efficiency
• Contribute to the strategic vision and roadmap for foundational AI systems at Capital One
• Establish and maintain enterprise-wide AI architecture standards, including tooling, observability, and deployment practices
• Design and integrate model routing, caching, and orchestration systems supporting hybrid and multi-model workloads
• Promote responsible AI principles, embedding transparency, fairness, and reproducibility into system design
• Lead internal education initiatives, mentorship programs, and best practice dissemination through architecture councils and AI guilds

Benefits

• Competitive salary aligned with experience and location
• Performance-based incentive compensation including cash bonuses and long-term incentives
• Comprehensive health, dental, and vision insurance plans
• Retirement savings options with employer contributions
• Paid time off and holiday benefits
• Flexible work arrangements and remote work eligibility
• Opportunities for professional development and continuous learning
• Inclusive and diverse workplace culture

Equal Oppor…