Ethan Knox is a data and AI leader with 11 years of hands-on experience building modern data platforms, ML infrastructure, and generative AI systems for startups and enterprise insurers. Currently Associate Partner and VP of Data & AI at Augment Risk, he focuses on durable, scalable solutions for reinsurance problems that are often deemed "un-automatable." He has founded and led multiple ventures—shipping end-to-end data ecosystems, self-serve analytics, and proprietary LLMOps and observability tooling—and reduced model intent error rates while achieving sub-second production latencies. Comfortable across cloud-native stacks (Snowflake, DBT, Airflow, AWS/GCP) and open-source-first ML workflows, he blends product sensitivity with engineering rigor. Based in Philadelphia, he pairs a pragmatic maker mentality with a continuous-learning ethos—he quotes Alain de Botton on yearly reinvention and even peppers his GitHub bio with a bit of cricket fandom.
10 years of coding experience
22 years of employment as a software developer
Computer Science, Computer Science at Drexel University
Bachelor's degree, Bachelor's degree at SUNY Oneonta
Master's degree, CIS Data Analytics, Master's degree, CIS Data Analytics at Boston University Metropolitan College
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Ethan Knox - Associate Partner, Vice President Of Data & AI