About The Company
Capital One is a leading financial institution committed to transforming banking through innovative technology and responsible AI systems. With a longstanding reputation for leveraging machine learning to deliver personalized, real-time customer experiences, Capital One invests heavily in its technological infrastructure and attracts world-class talent. The company's expertise in AI and ML positions it at the forefront of enterprise innovation, aiming to redefine how banking services are delivered.
From detecting unusual charges to providing instant customer support, Capital One applies AI and ML to bring simplicity, humanity, and efficiency to banking. The company is dedicated to building world-class applied science and engineering teams that develop breakthrough products and scalable, high-performance AI infrastructure. By doing so, Capital One strives to reimagine customer service and business operations, ensuring a positive impact on millions of users worldwide.
About The Role The Staff AI Engineer role at Capital One offers an opportunity to work remotely and be a part of the innovative Intelligent Foundations and Experiences (IFX) team. This team is central to realizing Capital One’s vision for AI by developing and deploying proprietary solutions that create significant value for the business and millions of customers. As a Staff AI Engineer, you will collaborate with cross-functional teams—including engineers, research scientists, product managers, and technical program managers—to design, develop, and support advanced AI software components.
Your responsibilities will include working on foundation model training, large language model inference, multi-agent workflows, similarity search, and model governance. You will leverage a broad stack of open-source and SaaS AI technologies, such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch, to optimize AI systems for scalability, cost-efficiency, and performance. You will also contribute to the technical vision and long-term roadmap for enterprise AI systems, ensuring responsible AI principles such as transparency, fairness, and reproducibility are embedded in all solutions.
The role requires a strategic thinker who can set technical direction, own system design, and influence enterprise-wide AI architecture, fostering a culture of innovation, best practices, and mentorship.
Qualifications
Bachelor's Degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related fields plus at least 8 years of experience in AI/ML development
Master's Degree in relevant fields plus at least 6 years of experience in AI/ML development
Proficiency in programming languages such as Python, Go, Scala, CUDA, or Java, with a minimum of 8 years of experience
Strong foundational knowledge in engineering and mathematics, with expertise in hardware, software, and AI systems
Experience designing and deploying scalable, responsible AI solutions on cloud platforms (AWS, Google Cloud, Azure, or private cloud)
Proven leadership in mentoring engineering teams and influencing cross-functional stakeholders up to VP level
Ability to understand and apply the latest AI research, including novel techniques for model optimization and inference
Experience with federated or multi-cloud AI strategies to maximize resilience and compute efficiency
Excellent communication skills with the ability to articulate complex AI concepts clearly
Demonstrated success in operationalizing enterprise AI architecture standards and data governance frameworks
Responsibilities
Partner with multidisciplinary teams to deliver AI-powered products that enhance customer and employee experiences
Design, develop, test, deploy, and support AI components such as foundation models, large language models, and multi-agent workflows
Leverage open-source and SaaS AI technologies, including AWS Ultraclusters, Huggingface, and VectorDBs, to optimize system performance
Invent and implement advanced foundation model optimization techniques to improve scalability, latency, throughput, and cost-efficiency
Contribute to the technical vision and long-term AI roadmap, aligning with enterprise goals and responsible AI principles
Set the technical standards for enterprise AI architecture, including tooling, observability, and deployment practices
Design and integrate model routing, caching, and orchestration systems supporting hybrid and multi-model workloads
Promote responsible AI practices by 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 commensurate 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 such as 401(k) plans
Paid time off and holidays to support work-life balance
Opportunities for professional development and continuous learning
Flexible remote work arrangements and supportive work environment
Inclusive and diverse workplace culture that values innovation and integrity
Equal Opportunity
Capital One is an equal opportunity employer committed to fostering a diverse and inclusive workplace. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected class under applicable law. We promote a drug-free workplace and ensure all employment decisions are made without bias. We welcome qualified applicants with criminal histories to apply, in accordance with applicable laws and regulations.
Capital
One values the unique perspectives and contributions of all employees and is dedicated to providing equal employment opportunities to everyone.