Distinguished AI Engineer

Capital One
United StatesFull-timePosted Aug 27, 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 solutions. 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 invests heavily in cutting-edge technology infrastructure and attracts world-class talent to maintain its position at the forefront of enterprise AI adoption. By integrating AI into its core operations, Capital One aims to enhance customer engagement, streamline processes, and create scalable, high-performance AI systems that redefine the banking experience. Its dedication to responsible AI practices ensures that technological advancements are aligned with ethical standards, fostering trust and reliability among its customers and stakeholders.

About The Role

The Distinguished AI Engineer will play a vital role within Capital One’s Intelligent Foundations and Experiences (IFX) team, which is dedicated to advancing AI capabilities and delivering impactful solutions across the organization. This position involves collaborating with cross-functional teams comprising engineers, research scientists, product managers, and technical program managers to develop and deploy innovative AI products that transform how the bank serves its customers and supports its internal operations. The successful candidate will be responsible for designing, developing, testing, deploying, and maintaining sophisticated AI software components, including foundation model training, large language model inference, similarity search, and model governance. They will leverage a broad array of open-source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch to build scalable and efficient AI systems. Additionally, they will contribute to the technical vision and long-term roadmap of foundational AI systems at Capital One, ensuring alignment with business goals and industry best practices.

Qualifications

The ideal candidate will possess a strong technical foundation, a passion for innovation, and extensive experience in AI and machine learning. Candidates should have a minimum of 8 years of experience in developing AI algorithms or related technologies, with a bachelor’s degree in Computer Science, AI, Electrical Engineering, or a related field; a master’s degree with at least 6 years of relevant experience is also acceptable. Proficiency in programming languages such as Python, Go, Scala, or Java is essential. Preferred qualifications include significant experience deploying scalable AI solutions on cloud platforms like AWS, Google Cloud, or Azure, and demonstrated leadership in architecting complex AI systems. Experience with AI model optimization, inference techniques, and applying state-of-the-art research in production environments is highly valued. Excellent communication skills, the ability to articulate complex AI concepts clearly, and experience mentoring engineering teams are also desirable.

Responsibilities

Partner with multidisciplinary teams to develop AI-powered products that enhance customer experiences and operational efficiencies.

Design, develop, and support AI software components, including foundation model training, large language model inference, similarity search, and governance tools.

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

Innovate and implement state-of-the-art optimization techniques to improve the performance, scalability, cost-efficiency, latency, and throughput of AI models in production.

Contribute to the strategic vision and roadmap for foundational AI systems, ensuring alignment with business objectives and industry standards.

Ensure responsible AI practices by implementing guardrails, governance, and observability measures to maintain model integrity and compliance.

Stay current with the latest AI research and emerging technologies, applying relevant innovations to enhance existing systems and develop new solutions.

Mentor junior engineers and collaborate with cross-functional stakeholders to foster a culture of innovation and technical excellence.

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, retirement plans, paid time off, and opportunities for professional development. The company also promotes a flexible work environment and a culture of inclusion, ensuring all employees feel valued and empowered. Additional perks may include wellness programs, employee assistance programs, and access to cutting-edge technology and learning resources. Capital One’s commitment to diversity and inclusion fosters a collaborative environment where innovation thrives, enabling employees to grow and succeed in their careers.

Equal Opportunity

Capital One is an equal opportunity employer committed to fostering an 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 to all qualified applicants and employees. We are dedicated to creating a diverse environment where everyone can thrive and contribute to our mission of reimagining banking through responsible AI innovation. Capital One complies with all applicable federal, state, and local laws regarding non-discrimination and equal employment opportunity.

Responsibilities

  • Partner with multidisciplinary teams to develop AI-powered products that enhance customer experiences and operational efficiencies.
  • Design, develop, and support AI software components, including foundation model training, large language model inference, similarity search, and governance tools.
  • Leverage open-source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, and PyTorch to build scalable AI systems.
  • Innovate and implement state-of-the-art optimization techniques to improve the performance, scalability, cost-efficiency, latency, and throughput of AI models in production.
  • Contribute to the strategic vision and roadmap for foundational AI systems, ensuring alignment with business objectives and industry standards.
  • Ensure responsible AI practices by implementing guardrails, governance, and observability measures to maintain model integrity and compliance.
  • Stay current with the latest AI research and emerging technologies, applying relevant innovations to enhance existing systems and develop new solutions.
  • Mentor junior engineers and collaborate with cross-functional stakeholders to foster a culture of innovation and technical excellence.

Qualifications

  • Bachelor’s degree in Computer Science, AI, Electrical Engineering, or a related field; a master’s degree with at least 6 years of relevant experience is also acceptable.
  • Minimum of 8 years of experience in developing AI algorithms or related technologies.
  • Proficiency in programming languages such as Python, Go, Scala, or Java.
  • Significant experience deploying scalable AI solutions on cloud platforms like AWS, Google Cloud, or Azure.
  • Demonstrated leadership in architecting complex AI systems.
  • Experience with AI model optimization, inference techniques, and applying state-of-the-art research in production environments.
  • Excellent communication skills and experience mentoring engineering teams.

Benefits

  • Competitive salaries and performance-based incentives.
  • Health insurance and retirement plans.
  • Paid time off and opportunities for professional development.
  • Flexible work environment and a culture of inclusion.
  • Wellness programs and employee assistance programs.
  • Access to cutting-edge technology and learning resources.

Skills mentioned

PythonMachine LearningDeep LearningPyTorchGenerative AILarge Language ModelsEmbeddingsModel DeploymentAWSPerformance Optimization

About Capital One

Netrolynx AI is a cutting-edge artificial intelligence company dedicated to building intelligent AI agents and automation solutions that help businesses streamline operations, enhance customer experiences, and accelerate digital transformation. Our core expertise lies in designing and developing custom AI agents powered by advanced large language models (LLMs), natural language processing (NLP), machine learning, and generative AI technologies. We create AI-powered assistants, customer support agents, workflow automation systems, knowledge-based chatbots, and enterprise AI solutions tailored to meet the unique needs of businesses across industries. At Netrolynx AI, we combine innovation, technical excellence, and a customer-first approach to deliver secure, scalable, and high-performing AI solutions. Whether you're looking to automate business processes, improve productivity, or deploy intelligent AI agents, our team is committed to helping you unlock the full potential of artificial intelligence.

Software Development51-200 employees