About AlphaSense: AlphaSense empowers the world’s leading companies to transform uncertainty into informed decision-making. Our market intelligence platform, powered by advanced AI technology, delivers vital insights derived from trusted public and private resources, including equity research, company filings, event transcripts, expert calls, news articles, trade journals, and proprietary research content.In 2024, AlphaSense's acquisition of Tegus enhanced our mission to enable professionals to make better-informed decisions through AI-driven insights. Together, we will foster innovation and accelerate the expansion of our product offerings, giving users access to even richer insights from a multitude of content sources. Trusted by over 6,000 enterprise clients, including many from the S&P 500, AlphaSense was founded in 2011 and is headquartered in New York City, with a global workforce of more than 2,000 employees across offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Join us on this exciting journey!About the Role:We are in search of an innovative and hands-on Principal AI Engineer, a cornerstone of our strategy for the Content portfolio. In this pivotal role, you will infuse advanced AI expertise into our product offerings, researching, architecting, and pioneering solutions that intelligently process and extract insights from millions of unstructured documents and multimedia content daily.This is an exceptional opportunity for a 'founding engineer' who is keen to influence the future of AI within our organization. As the primary authority on AI/ML, you will pinpoint and deploy cutting-edge techniques for document classification, entity extraction, image search, and more. If you are an experienced engineer passionate about tackling large-scale data challenges and eager to establish a center of excellence, this position is tailored for you.What You’ll Do:Spearhead AI Innovation: As the leading technical expert on AI, research, assess, and prototype state-of-the-art solutions utilizing Large Language Models (LLMs), Computer Vision, and various machine learning techniques to address our most intricate data extraction challenges.Architect for Scale: Create and develop robust, scalable, and cost-efficient AI services and data processing pipelines that will support the processing of millions of documents.
Feb 24, 2026