Director of Engineering, AI Platform - Medallion

About Medallion :

At Medallion , we believe healthcare teams should focus on what truly matters - delivering exceptional patient care. That’s why we’ve built a leading provider operations platform to eliminate the administrative bottlenecks that slow healthcare organizations down. By automating licensing, credentialing, payer enrollment, and compliance monitoring, Medallion empowers healthcare operations teams to streamline their workflows, improve provider satisfaction, and accelerate revenue generation, all while ensuring superior patient outcomes.

As one of the fastest-growing healthcare technology companies - ranked #3 on Inc. Magazine’s 2024 Fastest-Growing Private Companies in the Pacific Region, #5 on LinkedIn's 2024 Top US Startups, a Glassdoor Best Place to Work in 2024 & 2025, and featured on The Today Show - Medallion is revolutionizing provider network management. Our CEO, Derek Lo, has been named one of the Top 50 Healthcare Technology CEOs of 2024 by The Healthcare Technology Report. Backed by $130M in funding from world-class investors like Sequoia Capital, Google Ventures, Optum Ventures, Salesforce Ventures, Acrew Capital, Washington Harbour, and NFDG, we’re on a mission to transform healthcare at scale.

The Role

We're looking for a Director of Engineering to lead our Applied AI & Data Platform organization, the group turning today's best models into reliable agents that do real administrative work, plus the data systems behind them. You'll report to the CTO and lead a growing org of engineering managers, staff engineers, ML engineers, and data specialists. You'll work with Product, Operations, and our domain experts to decide where AI creates lasting advantage for Medallion .

You'll scale what's already working. We've built the point solutions: LLM inference and model lifecycle, voice agents, document and data-extraction pipelines, early evals. Your job is to turn them into a platform, with shared tooling, rigorous evaluation, scalable data ops, and a repeatable way to ship new agents safely.

We want someone who's here to build an AI practice, driving real outcomes, not bolt features onto a product.

What You'll Do

• 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. The build-vs-buy and fine-tune-vs-prompt calls are yours.
• 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 tool