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The role involves designing and building AI capabilities within Capital One, focusing on developing infrastructure for ML and AI systems. Responsibilities include creating fault-tolerant systems, deploying large-scale distributed clusters, measuring performance benchmarks, and building applications that utilize LLMs and foundation models, all within a public cloud framework.

The Senior Distinguished Engineer for Generative AI Systems at Capital One will design and implement AI capabilities within a public cloud infrastructure. Responsibilities include building fault-tolerant large-scale systems, deploying training clusters, benchmarking software system performance, and developing applications leveraging large language models (LLMs) and foundation models while ensuring robust MLOps support.

As a Senior Distinguished Engineer, you will design and build robust infrastructure for large-scale AI and ML systems. Key responsibilities include developing applications using LLMs, building distributed training clusters, and implementing MLOps capabilities within public cloud environments.

The Sr Distinguished Engineer will design robust, secure AI infrastructure, deploy training clusters, and support AI research, focusing on scalable ML systems and MLOps. Responsibilities include building fault-tolerant systems, optimizing resources in public cloud, and implementing performance benchmarks for AI capabilities.

As a Senior Distinguished Engineer, you will design and build AI systems infrastructure, optimize large-scale ML models, and support AI research while working with a team of engineers. Responsibilities include deploying training clusters, implementing MLOps, and ensuring system reliability.

The Senior Distinguished Engineer for Generative AI Systems at Capital One will lead the design and implementation of AI infrastructure in a cloud environment, focusing on large-scale ML systems, distributed training clusters, and MLOps capabilities. They'll work with AI engineers to envision and build enterprise AI capabilities and ensure the robustness and performance of AI applications.

The Senior Software Engineer will collaborate within Agile teams to develop and support cloud-based solutions, utilizing programming languages and technologies including Python, Java, and AWS. This role involves mentoring, staying informed on technology trends, and contributing to the transformation of financial services.