Latent Head of Applied AI at Latent leading the team building AI capabilities for clinical and operational workflows. Owns strategy, architecture, and team development for production AI systems.
Responsibilities
We are hiring a Head of Applied AI to lead the team building the AI capabilities that power Latent’s products. You will own our approach to production AI across complex clinical and operational workflows, including prior authorization, payor communication, clinical review, and care gap analysis, etc.
This is both a technical and organizational leadership role. You will set strategy, guide architecture, build and develop the team, and work closely with Product, Engineering, and business leaders to turn technical capabilities into measurable outcomes for health systems and patients.
Set the strategy and operating model for Applied AI at Latent
Lead the team building production AI agents and intelligence systems for clinical and operational workflows
Own Latent Agent, our evaluation framework, and the shared foundations for new AI use cases
Establish evaluation practices that drive product, technical, and business decisions
Make pragmatic build-versus-buy decisions across models, prompting, agent infrastructure, and post-training
Partner with Product, Engineering, and business leaders to define priorities, metrics, and ownership
Guide technical direction while empowering technical leads and senior engineers to own execution
Build, hire, and develop a high-performing team with clear expectations and regular feedback
Create predictable, visible execution without adding process for its own sake
Own the reliability of live AI systems, including monitoring, failure handling, and service-level objectives
Qualification
You communicate your reasoning clearlyHealthcare experienceOur teams are small by designWe learn by shipping
Required
You can move between strategy and technical detail, read design documents closely, and offer concrete guidance on architecture and tradeoffs
You communicate your reasoning clearly, including the options you considered, your confidence, and what would change your mind
Healthcare experience, or experience building systems that use sensitive data, is helpful but not required.
Our teams are small by design. Everyone is expected to understand the customer problem, own their decisions, and follow their work through to measurable outcomes in production.
We learn by shipping, measuring, and improving. We treat evaluations as a core part of product development. We invest in models when the product and business need them, and we stay pragmatic about using the simplest approach that works reliably.
