Twin Health At Twin Health, we empower people to improve and prevent chronic metabolic diseases, like type 2 diabetes and obesity, with a new standard of care. Twin Health is the only company applying AI Digital Twin technology exclusively toward metabolic health. We start by building a dynamic model of each person’s metabolism — drawing on thousands of data points from CGMs, smartwatches, and meal logs — that maps their personal path to better health.

Guided by a dedicated clinical care team, our members have lowered their A1C below the diabetes range, achieved lasting weight loss, and reduced or even eliminated medications, all while living healthier, happier lives. Working here Our team at Twin Health is passionate, talented, and united by a shared purpose: to improve the metabolic health and happiness of our members. We believe in empowering every Twin to make a meaningful impact for our members, our clients, and each other, while enjoying a supportive, collaborative work environment.

Twin has been recognized not only for our innovation but also for our culture, including: Innovator of the Year by the Employer Health Innovation Roundtable (EHIR), selected to CB Insights’ Digital Health 150, and named one of Newsweek’s Top Most Loved Workplace® . S. and globally.

Backed by leading venture firms like ICONIQ Growth, Sequoia, Sofina, Temasek, and Peak XV, we are building the most impactful digital health company in the world. Join us as we reinvent the standard of care in metabolic health. Opportunity We are seeking a Staff AI Engineer to join our Core AI team to shape the technical direction of our AI-driven product using the latest techniques in Gen AI, AI agents, and deep learning.

This is powered by our Digital Twin AI, which combines Predictive and Generative AI to provide individualized insights and recommendations that improve the health of our members every day. This is a senior technical leadership role for someone who wants to solve hard, ambiguous problems at the system level — not just within a single feature, but across the architecture, tooling, and standards that the whole Core AI team relies on. You'll set technical direction across multiple AI products, mentor senior engineers, and be the person others turn to when a problem doesn't have an obvious owner.

Responsibilities

Design and build the core architecture for AI systems spanning multiple product areas, ensuring coherence and reuse across different applications. Set the technical bar for the org: evaluation frameworks, testing philosophy, CI/CD for model behavior, and shared infrastructure used across multiple teams. Identify and resolve systemic engineering gaps before they become team-wide problems — proactively, not just in response to escalations.

Take direct ownership of the hardest, most ambiguous technical problems on the team — the ones without an established playbook — and build the solution end-to-end. Build and ship conversational agents, deep learning models, and personalization systems that require novel technical approaches. Improve AI/ML systems and services to drive behavior change and sustained metabolic health improvements across our member base.

Raise the technical level of the team through code review and design review — this is IC technical leadership, not people management. You will not have direct reports. Partner with product, engineering leadership, and clinical/research teams to turn ambiguous goals into technical designs you then build.

Other duties as assigned.

Qualifications

8+ years of industry experience developing AI and Machine Learning systems in production, with a track record of leading technical initiatives that span multiple teams or systems.