{"schemaVersion":"jobsearcher.job.v1","id":"9c2dcca9a8b91f642adc4eaf","url":"https://jobsearcher.com/jobs/9c2dcca9a8b91f642adc4eaf","canonicalUrl":"https://jobsearcher.com/jobs/9c2dcca9a8b91f642adc4eaf","title":"AI Engineer","description":"About The CompanyCapital One is a leading financial services organization dedicated to transforming banking through innovative technology and responsible AI systems. With a strong focus on leveraging machine learning and AI, Capital One has established itself as an industry pioneer in delivering personalized, real-time customer experiences. The company's commitment to technological excellence, combined with its investment in world-class talent and infrastructure, positions it at the forefront of AI-driven banking solutions. Capital One aims to enhance customer satisfaction, streamline operations, and foster financial inclusion by harnessing the power of emerging AI capabilities.About The RoleThe AI Engineer 4 role at Capital One is a pivotal position within the AI Foundations and VLM Customization team, responsible for developing and deploying advanced AI systems that redefine banking experiences. This role involves collaborating with cross-functional teams to design, build, and optimize AI models and infrastructure that support scalable, responsible, and innovative solutions. The successful candidate will lead efforts in foundation model training, large language model inference, and multi-agent workflows, ensuring high performance, reliability, and ethical compliance. By contributing to the technical vision and long-term roadmap, the AI Engineer will help shape the future of AI at Capital One, directly impacting millions of customers and internal stakeholders.QualificationsThe ideal candidate will possess a strong technical background with a bachelor's degree in Computer Science, AI, Electrical Engineering, or related fields, accompanied by at least 4 years of relevant experience, or a master's degree with a minimum of 2 years of experience. Proficiency in programming languages such as Python, Go, Scala, CUDA, or Java is essential. Candidates should demonstrate experience in deploying scalable AI solutions on cloud platforms like AWS, Google Cloud, or Azure, and possess a deep understanding of AI algorithms, large language models, and optimization techniques. Experience in designing distributed systems, AI governance, and model lifecycle management is highly preferred. A passion for staying current with AI research and the ability to translate scientific advancements into production-ready systems are vital attributes.ResponsibilitiesCollaborate with multidisciplinary teams comprising engineers, research scientists, and product managers to develop AI-powered products that enhance customer interactions and operational efficiency.Design, develop, test, and deploy AI software components, including foundation model training, large language model inference, similarity search, guardrails, and observability frameworks.Leverage open-source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch to build robust AI systems.Invent and implement state-of-the-art optimization techniques to improve the scalability, latency, throughput, and cost-efficiency of large-scale AI systems.Contribute to the strategic vision and roadmap for foundational AI systems, ensuring alignment with business goals and technological advancements.Own and maintain the end-to-end architecture of complex AI systems, emphasizing maintainability, observability, and ethical standards.Define and monitor service-level objectives (SLOs) for AI system reliability, including latency, uptime, and model performance metrics.Work closely with infrastructure teams to optimize GPU/TPU utilization and accelerate inference pipelines.Lead technical reviews for new AI deployments, ensuring compliance with security, data governance, and regulatory standards.Mentor junior team members on scalable design, performance tuning, and translating research into production systems.BenefitsCapital One offers a comprehensive package of benefits designed to support your overall well-being and professional growth. Employees are eligible for competitive salaries, performance-based incentives, and long-term incentives (LTI). The company provides health, dental, vision, and financial wellness programs tailored to meet diverse needs. Additionally, Capital One emphasizes work-life balance through flexible work arrangements and a supportive workplace culture. Opportunities for continuous learning, professional development, and career advancement are integral parts of the employee experience. The organization also fosters an inclusive environment that values diversity, equity, and inclusion, ensuring all team members can thrive and contribute meaningfully.Equal OpportunityCapital 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 characteristic. We believe in providing equal employment opportunities and ensuring that all candidates and employees are treated with fairness and respect. Capital One complies with all applicable federal, state, and local laws regarding non-discrimination and equal opportunity employment. We are dedicated to creating an environment where everyone feels valued, supported, and empowered to succeed.","company":"Taskverse","rawCompany":"taskverse","city":"Denver","state":"CO","isRemote":false,"isActive":false,"createdAt":"2026-09-23T07:55:19.630Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Engineer","description":"About The CompanyCapital One is a leading financial services organization dedicated to transforming banking through innovative technology and responsible AI systems. With a strong focus on leveraging machine learning and AI, Capital One has established itself as an industry pioneer in delivering personalized, real-time customer experiences. The company's commitment to technological excellence, combined with its investment in world-class talent and infrastructure, positions it at the forefront of AI-driven banking solutions. Capital One aims to enhance customer satisfaction, streamline operations, and foster financial inclusion by harnessing the power of emerging AI capabilities.About The RoleThe AI Engineer 4 role at Capital One is a pivotal position within the AI Foundations and VLM Customization team, responsible for developing and deploying advanced AI systems that redefine banking experiences. This role involves collaborating with cross-functional teams to design, build, and optimize AI models and infrastructure that support scalable, responsible, and innovative solutions. The successful candidate will lead efforts in foundation model training, large language model inference, and multi-agent workflows, ensuring high performance, reliability, and ethical compliance. By contributing to the technical vision and long-term roadmap, the AI Engineer will help shape the future of AI at Capital One, directly impacting millions of customers and internal stakeholders.QualificationsThe ideal candidate will possess a strong technical background with a bachelor's degree in Computer Science, AI, Electrical Engineering, or related fields, accompanied by at least 4 years of relevant experience, or a master's degree with a minimum of 2 years of experience. Proficiency in programming languages such as Python, Go, Scala, CUDA, or Java is essential. Candidates should demonstrate experience in deploying scalable AI solutions on cloud platforms like AWS, Google Cloud, or Azure, and possess a deep understanding of AI algorithms, large language models, and optimization techniques. Experience in designing distributed systems, AI governance, and model lifecycle management is highly preferred. A passion for staying current with AI research and the ability to translate scientific advancements into production-ready systems are vital attributes.ResponsibilitiesCollaborate with multidisciplinary teams comprising engineers, research scientists, and product managers to develop AI-powered products that enhance customer interactions and operational efficiency.Design, develop, test, and deploy AI software components, including foundation model training, large language model inference, similarity search, guardrails, and observability frameworks.Leverage open-source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, and PyTorch to build robust AI systems.Invent and implement state-of-the-art optimization techniques to improve the scalability, latency, throughput, and cost-efficiency of large-scale AI systems.Contribute to the strategic vision and roadmap for foundational AI systems, ensuring alignment with business goals and technological advancements.Own and maintain the end-to-end architecture of complex AI systems, emphasizing maintainability, observability, and ethical standards.Define and monitor service-level objectives (SLOs) for AI system reliability, including latency, uptime, and model performance metrics.Work closely with infrastructure teams to optimize GPU/TPU utilization and accelerate inference pipelines.Lead technical reviews for new AI deployments, ensuring compliance with security, data governance, and regulatory standards.Mentor junior team members on scalable design, performance tuning, and translating research into production systems.BenefitsCapital One offers a comprehensive package of benefits designed to support your overall well-being and professional growth. Employees are eligible for competitive salaries, performance-based incentives, and long-term incentives (LTI). The company provides health, dental, vision, and financial wellness programs tailored to meet diverse needs. Additionally, Capital One emphasizes work-life balance through flexible work arrangements and a supportive workplace culture. Opportunities for continuous learning, professional development, and career advancement are integral parts of the employee experience. The organization also fosters an inclusive environment that values diversity, equity, and inclusion, ensuring all team members can thrive and contribute meaningfully.Equal OpportunityCapital 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 characteristic. We believe in providing equal employment opportunities and ensuring that all candidates and employees are treated with fairness and respect. Capital One complies with all applicable federal, state, and local laws regarding non-discrimination and equal opportunity employment. We are dedicated to creating an environment where everyone feels valued, supported, and empowered to succeed.","datePosted":"2026-09-23T07:55:19.630Z","dateModified":"2026-09-23T07:55:19.630Z","hiringOrganization":{"@type":"Organization","name":"Taskverse","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"9c2dcca9a8b91f642adc4eaf"},"url":"https://jobsearcher.com/jobs/9c2dcca9a8b91f642adc4eaf"}}