Senior AI Engineer

Capital One
United StatesFull-timePosted Sep 16, 2026

About the role

About The Company

Capital One is a leading financial services company committed to transforming banking through innovative technology and responsible AI practices. With a strong focus on leveraging machine learning and artificial intelligence, Capital One has established itself as an industry pioneer in delivering personalized, real-time customer experiences. The company's extensive investments in cutting-edge infrastructure and top-tier talent enable it to develop scalable, high-performance AI systems that enhance banking services and foster customer trust. Capital One's mission is to reimagine how financial services are delivered, ensuring they are accessible, responsible, and impactful for millions of customers worldwide.

About The Role

The Senior AI Engineer role at Capital One offers an exciting opportunity to be at the forefront of AI and machine learning innovation within the banking sector. As part of the Intelligent Foundations and Experiences (IFX) team, you will play a critical role in designing, developing, and deploying advanced AI solutions that directly influence how the bank operates and interacts with its customers. Your work will involve collaborating with cross-functional teams including engineers, research scientists, product managers, and technical program managers to create responsible, scalable AI-powered products. You will be instrumental in shaping the technical vision and long-term roadmap of foundational AI systems, ensuring they meet the highest standards of performance, security, and ethical considerations.

Qualifications

The ideal candidate will possess a strong foundation in engineering, mathematics, and AI, with demonstrated experience in deploying scalable AI solutions. A bachelor's degree in Computer Science, AI, Electrical Engineering, or a related field, along with at least three years of experience developing AI and ML algorithms, is required. Alternatively, a master's degree with at least one year of relevant experience will also be considered. Proficiency in programming languages such as Python, Go, Scala, or Java is essential. Preferred qualifications include four or more years of experience deploying AI solutions on cloud platforms like AWS, Google Cloud, or Azure, along with hands-on experience in developing AI services, optimizing large-scale training and inference software, and applying state-of-the-art techniques for model performance and cost efficiency.

Responsibilities

Partner with multidisciplinary teams to deliver AI-powered products that enhance operational efficiency and customer engagement.

Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, model evaluation, experimentation, governance, and observability.

Leverage open-source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch to build robust AI systems.

Invent and implement state-of-the-art Large Language Model (LLM) optimization techniques to improve scalability, latency, throughput, and cost-effectiveness of production AI systems.

Contribute to the technical vision and strategic roadmap of foundational AI systems, ensuring alignment with business goals and responsible AI practices.

Continuously research emerging AI advancements and assess their applicability to enhance existing systems and develop innovative solutions.

Ensure AI systems adhere to ethical standards, governance policies, and regulatory requirements, maintaining transparency and accountability.

Benefits

Capital One offers a comprehensive and competitive benefits package designed to support your overall well-being and professional growth. Benefits include health, dental, and vision insurance, retirement savings plans, paid time off, and wellness programs. The company also provides opportunities for continuous learning and development, including training, certifications, and career advancement initiatives. Additionally, Capital One promotes a flexible work environment, fostering a culture of inclusion and collaboration. Eligible employees may also participate in performance-based incentive programs, including bonuses and long-term incentives, recognizing individual and team contributions.

Equal Opportunity

Capital One is an equal opportunity employer committed to fostering an inclusive environment for all employees and applicants. We do not discriminate based on race, color, religion, gender identity, sexual orientation, national origin, age, disability, or any other protected characteristic. We adhere to all applicable federal, state, and local laws and regulations, ensuring fair treatment and equal access to employment opportunities. Capital One also promotes a drug-free workplace and is dedicated to providing reasonable accommodations for qualified individuals with disabilities or those requiring accommodations during the application process. We welcome diverse perspectives and are committed to creating a workplace where everyone can thrive.

Responsibilities

  • Partner with multidisciplinary teams to deliver AI-powered products that enhance operational efficiency and customer engagement.
  • Design, develop, test, deploy, and support AI software components including foundation model training and large language model inference.
  • Leverage open-source and SaaS AI technologies to build robust AI systems.
  • Invent and implement state-of-the-art Large Language Model optimization techniques.
  • Contribute to the technical vision and strategic roadmap of foundational AI systems.
  • Continuously research emerging AI advancements and assess their applicability.
  • Ensure AI systems adhere to ethical standards and governance policies.

Qualifications

  • Bachelor's degree in Computer Science, AI, Electrical Engineering, or a related field.
  • At least three years of experience developing AI and ML algorithms.
  • Proficiency in programming languages such as Python, Go, Scala, or Java.
  • Preferred: Four or more years of experience deploying AI solutions on cloud platforms.

Benefits

  • Health, dental, and vision insurance.
  • Retirement savings plans.
  • Paid time off.
  • Wellness programs.
  • Opportunities for continuous learning and development.
  • Flexible work environment.

Skills mentioned

PythonGoMachine LearningGenerative AILarge Language ModelsPyTorchAWSModel DeploymentPerformance OptimizationModel Monitoring

About Capital One

IT Services and IT Consulting2-10 employees

H-1B sponsorship history

Historical employer filing data was found for Capital One. The employer record includes 2 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.