Job description

• US, Remote 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. You’ll own deployments from technical discovery through production delivery and account expansion, working closely with Engineering, Product, and commercial teams. What you’ll 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 you’ll 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. Apply Now Share This Job

Requirements

Must-haves

Head of Applied AI Engineering
Remote — United States
Full-time | Approximately 10–20% travel
What you’ll 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 you’ll 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.

Nice-to-haves

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

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aimachine learningllmpythontypescriptnode.jssqlaws

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