AI Engineer - Data Intelligence
As an AI Engineer - Data Intelligence at Clarium, you will join the Data Products team to build and maintain the master data enrichment pipeline, a critical system that classifies and contextualizes products in a hospital's supply chain. This early-career opportunity involves designing classification and entity resolution workflows using deterministic logic and LLMs, operating evaluation harnesses, and writing production Python and SQL code to ensure high data quality and drive actionable insights for leading health systems.
The healthcare industry overspends on its supply chain by over $25B each year, the result of fragmented data, inefficient workflows, and wasted supplies. Clarium is fixing that. Our AI-powered platform, Astra OS, gives hospitals end-to-end visibility into their supply chain operations, automating workflows and surfacing actionable insights so supply chain teams can focus on what matters most: patient care. We're trusted by some of the world's leading health systems, including Yale New Haven Health, Stanford, Geisinger, Cleveland Clinic, and Kaiser Permanente.
Founded in 2020, Clarium has raised $43M in total funding. Our Series A was led by Northzone, with participation from General Catalyst, AlleyCorp, Kaiser Permanente Ventures, Texas Medical Center Ventures, and 1984 Ventures.
AI-powered platforms, like Clarium’s, deliver the highest impact when they are supported by high-quality data. As we scale to more health systems and deepen our offering of intelligent, data-driven workflows, the master data enrichment pipeline (the system that classifies and contextualizes every product flowing through a hospital's supply chain) has become a critical growth lever. We're investing in the team and infrastructure to make that layer faster, smarter, and more reliable.
You'll join the Data Products team, a small, unusually senior group responsible for the data assets, data science, and analytics that drive measurable value for our clients. Day-to-day, you'll build and own components of our enrichment pipeline: classification workflows, entity resolution systems, evaluation harnesses, and the production tooling that keeps it all running. You'll work closely with engineers and data scientists who've shipped real ML systems at scale, and your work will feed directly into decisions made by supply chain teams at some of the country's leading health systems.
A rare early-career opportunity to learn fast and own real work from day one. As the first junior hire on the team, you won't be buried under layers of abstraction. You'll work directly alongside people who've done this before, on problems that actually matter. Short feedback loops, real stakes, and the kind of hands-on growth that's hard to find this early in a career. It's the opportunity many of us wish we'd had starting out.
Posted June 3, 2026