Everlywell is entering a new era—one where data and AI will shape the future of diagnostics, consumer health, and enterprise health plan solutions. As the Director of AI and Data Engineering, you will lead the vision, strategy, and execution of our AI and data platform capabilities. This role will drive the foundation and innovation layer that powers predictive insights, personalized health journeys, and next-gen diagnostics intelligence—at scale.
You will be both a strategic architect and technical leader, managing a small, high-impact team while collaborating cross-functionally to make data a transformative, competitive advantage.
AI and Data Strategy & Architecture
Define and execute a comprehensive strategy for AI and data infrastructure, focused on scalability, reliability, and business impact.
Drive innovation in machine learning (ML) and large language model (LLM)-powered applications, from concept to production.
Evaluate and implement emerging AI techniques (e.g., retrieval-augmented generation, agentic workflows, multimodal models) aligned to our diagnostics and consumer product roadmap.
Technical Leadership:
Lead architectural decisions across data warehousing, pipelines, model deployment, and real-time inference systems.
Design and evolve our data ecosystem (including structured lab/test data, behavioral data, partner integrations) to serve both AI initiatives and enterprise analytics needs.
Oversee development and integration of ML models into customer-facing features, health recommendations, and operational tooling.
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