About The Company
Capital One is a leading financial services company dedicated to redefining the banking experience through innovative technology and responsible AI systems. With a long-standing reputation for leveraging machine learning and data-driven insights, Capital One has established itself as an industry pioneer in creating personalized, real-time customer interactions. The company's commitment to technological excellence is reflected in its substantial investments in infrastructure, world-class talent, and cutting-edge research in artificial intelligence and machine learning.
By integrating AI into its core operations, Capital One aims to deliver seamless, efficient, and secure banking solutions that meet the evolving needs of its customers and businesses.
About The Role The Director of AI Engineering at Capital One is a strategic leadership position responsible for overseeing the development, deployment, and governance of advanced AI systems. This role involves collaborating with cross-functional teams—including engineers, research scientists, product managers, and compliance professionals—to build scalable, responsible AI solutions that transform banking services. The successful candidate will lead initiatives to optimize foundation models, implement cutting-edge AI techniques, and establish enterprise standards for Responsible AI.
They will also play a key role in shaping the long-term AI strategy, attracting top talent, and fostering a culture of innovation and continuous learning. This role offers the flexibility of remote work, allowing candidates from various locations to contribute to Capital One’s mission of reimagining banking through AI.
Qualifications The ideal candidate will possess a strong technical background with extensive experience in AI and machine learning development. A minimum of a Bachelor's Degree in Computer Science, AI, Electrical Engineering, or related fields is required, with at least 8 years of relevant experience; a Master’s Degree with 6 years of experience is also acceptable. Leadership experience is essential, with at least three years managing and mentoring engineering teams.
Candidates should demonstrate a deep understanding of AI algorithms, scalable system design, and cloud deployment platforms such as AWS, Google Cloud, or Azure. Familiarity with developing and deploying large language models, vector databases, and responsible AI practices is highly preferred. Excellent communication skills, strategic thinking, and a passion for innovation are critical attributes for success in this role.
Responsibilities
Partner with multidisciplinary teams to deliver AI-powered products that enhance customer experiences and operational efficiency.
Oversee the design, development, testing, deployment, and support of AI software components, including foundation model training, large language model inference, similarity search, and governance frameworks.
Make informed build-vs-buy decisions across a broad stack of AI technologies, leveraging open-source tools and SaaS solutions such as AWS Ultraclusters, Huggingface, PyTorch, and VectorDBs.
Innovate and implement state-of-the-art foundation model optimization techniques to improve scalability, latency, throughput, and cost-efficiency of AI systems.
Contribute to the technical vision and strategic roadmap for AI initiatives, aligning with enterprise objectives and regulatory standards.
Attract, develop, and retain top AI talent, fostering a culture of continuous learning, experimentation, and professional growth.
Translate enterprise AI strategies into actionable, portfolio-level execution plans that balance innovation with disciplined delivery.
Scale AI engineering practices by establishing shared infrastructure, reusable components, and comprehensive observability and governance standards.
Define and enforce enterprise standards for Responsible AI, including fairness metrics, documentation, model evaluation protocols, and audit readiness.
Collaborate with research, compliance, and risk teams to ensure AI systems meet ethical, legal, and regulatory requirements.
Benefits
Capital One offers a comprehensive benefits package designed to support the health, financial well-being, and overall well-being of its employees. This includes competitive salaries, performance-based incentives, health insurance plans, retirement savings options, paid time off, and wellness programs. Employees also have access to professional development resources, training opportunities, and a collaborative work environment that encourages innovation.
The company values diversity and inclusion, fostering a workplace where all employees can thrive and contribute meaningfully to the organization’s success. Remote work flexibility, along with location-specific compensation, ensures that employees can achieve a healthy work-life balance while contributing to impactful projects.
Equal Opportunity
Capital One is an equal opportunity employer committed to fostering an inclusive environment for all employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. We are dedicated to providing a workplace free from discrimination and harassment and ensure that all employment decisions are made based on merit and business needs.
We also consider qualified applicants with criminal histories in accordance with applicable laws and regulations.
Capital
One promotes diversity, equity, and inclusion at every level of our organization and encourages individuals from all backgrounds to apply.