Remote Head of Applied AI Engineering

Head of Applied AI Engineering

Remote — United States
$300,000–$365,000 base + bonus + equity
Full-time | Approximately 10–20% travel

A profitable, growing healthcare AI company is hiring a Head of Applied AI Engineering to build and lead its forward-deployed engineering organization. The company develops predictive models and AI agents for enterprise healthcare, life sciences, and wellness organizations.

This is a hands-on leadership role, with approximately 75% of your time focused on technical execution and 25% on team leadership. Youll own deployments from technical discovery through production delivery and account expansion, working closely with Engineering, Product, and commercial teams.

What youll do

- Build and deploy production agentic AI applications, including voice and multimodal conversational systems.

- Develop predictive models and workflows supporting patient engagement, care navigation, scheduling, and operational efficiency.

- Lead architecture and integrations with enterprise EHR/EMR, CRM, and claims data systems.

- Build reliable APIs, data pipelines, real-time services, and agent infrastructure with appropriate security, compliance, and output guardrails.

- Hire, mentor, and lead Applied AI Engineers while setting technical standards and delivery practices.

- Serve as the senior technical partner for strategic enterprise accounts, translating business needs into measurable outcomes.

- Partner with Sales and Growth on technical discovery, new opportunities, and account expansion.

- Turn deployment patterns and client feedback into reusable platform capabilities.

What youll bring

- 10+ years of experience spanning hands-on engineering and technical delivery, including people management.

- A strong backend engineering, data science, and machine learning foundation, with direct ownership of production systems.

- Experience building and operating agentic AI or LLM applications.

- Hands-on experience with Python, TypeScript/Node.js, SQL, PostgreSQL, Redis, and cloud infrastructure such as AWS.

- Experience with scalable data pipelines, event-driven architectures, streaming, and distributed systems.

- Significant early-stage or high-growth startup experience, with broad ownership from initial build through scaling.

- Experience leading enterprise client engagements and engineering teams.

- Executive communication skills and commercial judgment, paired with a collaborative, low-ego approach.

- A degree in Computer Science, Software Engineering, or a related technical field.

Especially relevant experience

- Healthcare, health insurance, life sciences, pharmaceuticals, or wellness.

- Forward-deployed engineering, enterprise AI implementation, or complex customer deployments.

- Voice agents, multimodal systems, LangChain, or LangGraph.

- HIPAA-sensitive environments and healthcare system integrations.

Compensation and work arrangement

- $300,000–$365,000 base salary, plus performance bonus and equity.

- Remote within the United States, working U.S. time zones.

- Approximately 10–20% travel for client and team engagements.