Director of Engineering, AI Platform

🕒 Junho 17

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🔴 Especialista

🤖 Engenheiro de IA

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Medallion

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2020

🏥 Saúde

⚕️ Seguro de Saúde

☁️ SaaS

🔥 Investimento no último ano

💰 $43.000.000 Series C - Medallion em 2025-08

Healthcare • Healthcare Insurance • SaaS

A Medallion é uma empresa de operações de saúde com tecnologia de IA que oferece uma plataforma SaaS para automatizar credenciamento de provedores, inscrição de pagadores, licenciamento, concessão de privilégios e monitoramento contínuo. A plataforma utiliza aprendizado de máquina e automação em tempo real para extrair e padronizar dados, gerenciar regras específicas de pagadores e estados, executar follow-ups automatizados e garantir conformidade com os padrões NCQA e TJC—reduzindo custos e acelerando a integração de provedores. A Medallion atende pagadores, grupos de provedores, sistemas de saúde, organizações de RCM e empresas de saúde digital com foco na redução da carga administrativa e melhoria da prontidão de rede.

Descrição

• Own the AI roadmap. • Set direction across our AI surfaces: voice and computer-use agents that work payers and provider portals, email triage, and the models that extract and structure data from clinical and legal documents. • Push AI deeper. • Take our systems from assisting people, to making decisions, to running whole service requests, and into licensing, enrollment, monitoring, and the customer-facing product. • Make it production-grade. • Build the evals, observability, and human-in-the-loop systems that let us ship models and agents we'll stand behind and back with guarantees. • Lead the data platform. • Own the pipelines, datasets, and tooling behind the models. Our real-world data is our biggest advantage, so make it fast to use and trustworthy to build on. • Build the org. • Hire and grow managers and senior engineers, set the structure, and hold the bar as we scale. Stay close enough to the work to earn their trust in a design review.

🎯 Requisitos

• 10+ years across engineering, ML, or data science, with experience leading a multi-team org through other managers. • You've run a mix of disciplines, including engineering, ML, data science, and data labeling or human-in-the-loop operations. • You've put applied ML and LLM systems into production, with the teams to back them, well beyond prototypes and research. • You understand LLMs, agents, retrieval, and structured extraction well enough to set direction, and you know what production reliability actually takes. • You're grounded in the data and infrastructure side: pipelines, orchestration, inference, and the eval and observability tooling that supports ML. • You weigh speed, cost, quality, and risk, and you take accuracy seriously where mistakes have real consequences.

🏖️ Benefícios

• Health insurance • 401(k) plan • Flexible work hours • Professional development opportunities • Remote work options