Staff AI Engineer

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.