AI Engineer

About The Company Capital One is a leading financial services company dedicated to transforming banking through innovative technology and responsible AI systems. With a rich history of leveraging machine learning and data-driven insights, Capital One has established itself as an industry pioneer in delivering personalized, real-time customer experiences. The company’s commitment to technological excellence is reflected in its substantial investments in infrastructure, talent acquisition, and applied science, positioning it at the forefront of AI-driven banking solutions. Capital One’s mission is to reimagine banking by harnessing emerging AI capabilities to create scalable, high-performance systems that serve millions of customers worldwide. The organization fosters a culture of innovation, collaboration, and ethical responsibility, ensuring that technological advancements align with regulatory standards and societal values. About The Role We are seeking a highly skilled and visionary Director of AI Engineering to join our remote team, with eligibility for remote work across various locations. In this leadership position, you will play a pivotal role in shaping the future of AI at Capital One by overseeing the development, deployment, and governance of advanced AI systems. You will collaborate closely with cross-functional teams including engineers, research scientists, product managers, and compliance officers to deliver AI-powered products that revolutionize customer interactions and operational efficiencies. Your expertise will drive the technical vision for foundational AI systems, including large language models, similarity search, and responsible AI frameworks. This role offers an exciting opportunity to lead innovative projects, attract top talent, and influence enterprise-wide AI strategies, all while ensuring the deployment of ethical and scalable AI solutions that align with Capital One’s mission of responsible banking innovation. Qualifications The ideal candidate will possess a strong technical foundation complemented by leadership experience. A minimum of a Bachelor’s degree in Computer Science, AI, Electrical Engineering, or related fields is required, along with at least 8 years of experience in developing AI and machine learning algorithms, or a Master’s degree with a minimum of 6 years of relevant experience. Additionally, candidates must have at least 3 years of proven leadership in managing engineering teams. Preferred qualifications include over 5 years of managing multi-disciplinary AI teams, extensive experience deploying scalable AI solutions on cloud platforms such as AWS, Google Cloud, or Azure, and proficiency in programming languages like Python, C++, or Java. Experience with building agentic AI systems, establishing enterprise AI standards, and navigating regulatory compliance is highly desirable. Strong communication skills and a passion for staying at the forefront of AI research are essential for success in this role. Responsibilities The Director of AI Engineering will be responsible for leading the design, development, and deployment of AI systems that impact both internal operations and customer-facing products. Key responsibilities include partnering with cross-functional teams to deliver AI-powered solutions that enhance user experience and operational efficiency. You will oversee the development of foundational models, large language model inference, similarity search, and model governance frameworks, ensuring high standards of quality, scalability, and cost-effectiveness. High-level decision-making regarding build versus buy strategies across open-source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, and VectorDBs will be a core part of your role. You will also be tasked with inventing and implementing state-of-the-art optimization techniques to improve AI system performance, latency, and throughput. Additionally, you will contribute to the long-term technical vision and roadmap, attract and retain top AI talent, and foster a culture of continuous learning and innovation. Establishing enterprise standards for Responsible AI, including fairness metrics, model evaluation protocols, and audit readiness, will be crucial. You will collaborate with research, compliance, and risk teams to ensure all AI systems adhere to evolving ethical and regulatory standards, promoting responsible AI deployment across the enterprise. Benefits Capital One offers a comprehensive and competitive benefits package designed to support your overall well-being and professional growth. Employees are eligible for performance-based incentive compensation, including cash bonuses and long-term incentives. The organization provides robust health, dental, vision, and financial benefits, along with wellness programs and resources to promote work-life balance. Flexible work arrangements, including remote work options, are available to accommodate diverse needs. Capital One is committed to fostering an inclusive environment that values diversity and promotes equal opportunity. Professional development opportunities, mentorship programs, and a collaborative culture empower employees to excel and grow within the company. The company also emphasizes ethical responsibility and sustainability, ensuring that technological advancements serve societal interests responsibly. Equal Opportunity Capital One is an equal opportunity employer committed to fostering an inclusive and diverse workplace. We do not discriminate based on race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic. We promote a drug-free workplace and comply with all applicable federal, state, and local laws regarding non-discrimination and fair employment practices. We consider qualified applicants with criminal histories in accordance with relevant laws and regulations. Capital One values diversity and strives to create an environment where all employees can thrive and contribute to our mission of responsible banking innovation.