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The Senior Engineer will build and maintain APIs and SDKs for training and accessing AI models, work on real-time customer applications, and collaborate with AI engineers and researchers to design key products. Responsibilities include architecting and deploying APIs for LLMs, enhancing user experience, and ensuring AI safety in API design.

The Senior Engineer will build and maintain APIs and SDKs for AI models, focusing on training and fine-tuning at scale. They will design and implement systems for real-time applications and monitor operational health, while ensuring AI safety standards.

As a Product Director at Capital One, you will drive innovative customer experiences by understanding user needs, managing strategic product portfolios, fostering agile methodologies, and influencing technology solutions. Your role involves collaboration with various teams to ensure product alignment and performance, while promoting a culture of data-driven decision-making.

The Senior Manager will lead efforts in building and maintaining APIs and SDKs for AI model management, working with a team to develop tools for enhancing customer experiences through large-language and foundation models.

The Senior Manager will lead the development and maintenance of APIs and SDKs for AI models at scale, focusing on building systems for Large-Language Models and achieving scalable AI infrastructure. Responsibilities include designing real-time applications, overseeing API performance, and ensuring AI safety within the systems. The position involves collaboration with a team of AI engineers and researchers.

The Senior Manager for Generative AI Product Engineering will lead the development of APIs and SDKs to access and manage AI models, focusing on performance, scalability, and ease of use. Responsibilities include mentoring teams, overseeing ML application deployment, and ensuring API operational health and governance.

As a Senior Manager in Generative AI Product Engineering, you will lead a team to build and maintain APIs and SDKs for large-language models. Responsibilities include developing systems for AI model training and fine-tuning, architecting core APIs for performance, and implementing AI safety measures while collaborating with engineers and researchers.