Head of Applied AI

Ensemble Health Partners • Austin, TX

4d • Onsite

About The Position

Ensemble is a leading provider of technology-enabled revenue cycle management solutions for health systems. Orchestration Works is a brand-new division designed to move fast, break barriers, and bring cutting-edge technology like AI and automation to life across the healthcare revenue cycle. This division gives us the freedom and focus to experiment, learn, and deploy innovations that make a measurable impact. It is a 50-person independent team headquartered in Austin, Texas, built to move at startup speed with real autonomy. The Head of Applied AI owns AI application practice for Orchestration Works: the discipline of embedding advanced AI in specific operational and clinical revenue cycle workflows and proving it works on real work. This role owns the application side of the boundary between the division and the AI organization, consuming the enterprise AI Platform and pulling it forward through real operational demand. The Head of Applied AI sets the practice, leads it hands-on across pods, and ensures every initiative conforms to enterprise AI safety and evaluation standards.

Requirements

• 10+ years of AI/ML experience with progressive leadership responsibility, including leading applied AI or ML teams.
• A track record of shipping applied AI products into production — moving teams from experimentation to deployed, measurable business outcomes.
• Deep hands-on fluency with modern AI application patterns: large language models, agentic architectures, retrieval-augmented generation, prompt and context engineering, fine-tuning, and evaluation.
• Experience operating within (or building on) an enterprise AI platform, including evaluation frameworks and safety guardrails.
• Cross-functional leadership across product, engineering, and operations, with the communication skills to influence technical and non-technical stakeholders.
• Candidates must currently reside in the Austin area or be willing to relocate.

Nice To Haves

• Healthcare or revenue cycle domain experience; familiarity with regulatory and security frameworks (HIPAA, HITRUST).
• Experience designing human-in-the-loop systems or AI that works alongside front-line operators.
• Experience with rigorous model evaluation practices, including adversarial testing and statistically sound offline evaluation.
• Advanced degree in computer science, AI/ML, or a related field.

Responsibilities

• Own the AI application practice: The standard for how pods design and build workflow-specific reasoning, prompts, agent architectures, and tool use across the portfolio.
• Lead applied agentic AI: Application of the platform's shared reasoning and agentic frameworks to prioritized revenue cycle problems — denials, coding, eligibility, prior authorization, and other operational and clinical workflows.
• Oversee initiative-specific fine-tuning and evaluation: Tuning and evaluating models for specific initiatives within the platform's pipelines and evaluation standards.
• Ensure platform consumption, not duplication: Use the AI organization's platform capabilities and drive its evolution through real operational demand — no parallel model relationships, no shadow infrastructure.
• Partner with the Head of Operator Engagement to ensure operator-validated AI: Every AI capability is validated by front-line teammates on real workflow — in shadow, parallel, or controlled production mode — before concept lock.
• Ensure safety and standards conformance: Per-initiative conformance to Ensemble's enterprise AI safety, evaluation standards, and guardrails.
• Provide technical leadership of pod AI talent: Guide the AI Engineers and Scientists seconded onto each pod; hands-on design, review, and problem-solving.

Benefits

• Relocation assistance may be available for eligible candidates.
• Comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs.
• Professional development investment: Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement.
• Quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager