Head of Applied AI

ensemblehp; Austin (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Ensemble seeks a visionary Head of Applied AI to lead the integration of advanced AI into healthcare revenue cycle workflows. You will own the AI application practice, guide cross‑functional pods, and shape the use of AI across operational and clinical domains.

Responsibilities include steering model fine-tuning, validating solutions with frontline teams, and ensuring safety and compliance while driving tangible outcomes for health systems and providers.

Qualifications

• Experience leading AI initiatives in enterprise settings.
• Ability to design and scale AI applications within complex workflows.
• Proven track record ensuring AI safety and evaluation standards.

Responsibilities

• Own AI application practice across pods and ensure consistency.
• Lead applied agentic AI to prioritized revenue cycle problems.
• Oversee initiative-specific fine-tuning and evaluation of models.
• Drive platform consumption and avoid duplication of efforts.
• Partner with Head of Operator Engagement to validate AI capabilities on real workflows.
• Ensure enterprise safety and standards conformance across initiatives.

Skills

AI application practice

Applied agentic AI

Initiative-specific fine-tuning

Platform consumption

Safety and standards conformance

Leadership

Job description

Thank you for considering a career at Ensemble!

Ensemble is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country.

Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference!

O.N.E Purpose:

• Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
• Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation.
• Striving for Excellence: Execute at a high level by demonstrating our "Best in KLAS" Ensemble Difference Principles and consistently delivering outstanding results.

The Opportunity

Welcome to Orchestration Works - Ensemble's bold leap into the future of healthcare innovation. We're building something big. 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 is where ideas don't just get tested - they get scaled. Our mission is simple: transform how we work, deliver next-level results for our clients, and lead the industry into tomorrow.

Why Orchestration Works Exists

Healthcare is changing at warp speed. To stay ahead, we're taking R+D out of the lab and putting it into real operations - quickly, intelligently, and boldly. This new division gives us the freedom and focus to experiment, learn, and deploy innovations that make a measurable impact.

What Makes It Different

• A dedicated R+D powerhouse: A 50-person independent team headquartered in Austin, Texas - built to move at startup speed.
• Real autonomy: independent leadership and resources and decision‑making authority that lets us innovate without friction.
• A laser focus: Revenue Cycle Management innovations powered by automation, AI, and reimagined processes - including work on advanced Administrative and Clinical Reasoning Models.
• A future‑ready mindset – We're here to help Ensemble evolve rapidly while protecting what makes us exceptional.

Why It Matters

The future of healthcare isn't waiting - and neither are we. Orchestration Works positions Ensemble to stay ahead of industry shifts, unlock new performance breakthroughs, and deliver smarter, faster, more reliable results for the organizations we serve.

Position Overview

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. The division of labor is clean - if a capability is reusable across many applications, it is platform work and lives with Ensemble's AI organization; if it solves a specific operational or clinical problem, it is application work and it flows through OW. This role owns the application side of that boundary and is the interface to the AI organization.

OW consumes the enterprise AI Platform - foundation models, ontologies, retrieval infrastructure, training pipelines, and shared agentic frameworks - and pulls it forward through real operational demand. It does not duplicate it, and it maintains no parallel model relationships. Within the platform, OW experiments freely: application patterns, prompts, agent designs, and initiative‑specific fine‑tuning. The Head of Applied AI sets that practice, leads it hands‑on across pods, and ensures every initiative conforms to enterprise AI safety and evaluation standards.

What You'll Own

• AI application practice: The standard for how pods design and build workflow‑specific reasoning, prompts, agent architectures, and tool use across the portfolio.
• 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.
• Initiative‑specific fine‑tuning and evaluation: Tuning and evaluating models for specific initiatives within the platform's pipelines and evaluation standards.
• 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.
• Operator‑validated AI: Partner with the Head of Operator Engagement so every AI capability is validated by front‑line teammates on real workflow - in shadow, parallel, or controlled production mode - before concept lock.
• Safety and standards conformance: Per-ini