[Hiring] Head of Applied AI Engineering @Map Ssg

Role Description

A profitable, growing healthcare AI company is hiring a Head of Applied AI Engineering to build and lead its forward-deployed engineering organization. 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.

• 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.

Qualifications

• 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.