Head of Applied AI

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:

Location: Austin TX (Hybrid - Onsite 3x per week)

Welcome to Orchestration Works Ensembles bold leap into the future of healthcare innovation.

Were 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 dont 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 were taking RD 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 RD powerhouse: A 50-person independent team headquartered in Austin Texas built to move at startup speed.

• Real autonomy: Independent leadership 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: Were here to help Ensemble evolve rapidly while protecting what makes us exceptional.

Why It Matters

The future of healthcare isnt 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 Ensembles 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 Youll 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 platforms 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 platforms pipelines and evaluation standards.

• Platform consumption not duplication: Use the AI organizations 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-initiative conformance to Ensembles enterprise AI safety evaluation standards and guardrails.

• Technical leadership of pod AI talent: Guide the AI Engineers and Scientists seconded onto each pod; hands-on design review and problem-solving.

What You Bring

• 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.

Preferred

• 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.

How We Work at Orchestration Works

• 120 days three gates: Every initiative moves from intake to deployment-ready in 120 days or less through three decision gates. Killing a concept at the gate is a legitimate expected outcome that is the model working not breaking.

• Multi-hat startup-like team: Roles here are broader than their titles. Leaders operate hands-on pods rotate in and out on initiative cycles and everyone contributes beyond their lane.

• Validated on real work: Front-line Ensemble teammates use what we build on real workflow before anything is locked. Solutions are designed around validated work not assumption.

• Built on Core: Same codebase same CI/CD same Ensemble engineering bar. OW proves it; Core scales it.

• Co-located in Austin: The dedicated team and active pod members work together in person at the OW office. Candidates must currently reside in the Austin area or be willing to relocate; relocation assistance may be available for eligible candidates.

Ensemble Health Partners is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all of our associates.

#LI-TP1

Join an award-winning company

Five-time winner of Best in KLAS

Black Book Researchs Top Revenue Cycle Management Outsourcing Solution 2021-2024

22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024

Leader in Everest Groups RCM Operations PEAK Matrix Assessment 2024

Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance-2023

Energage Top Workplaces USA 2022-2024

Fortune Media Best Workplaces in Healthcare 2024

Monster Top Workplace for Remote Work 2024

Great Place to Work certified 2023-2024

• Innovation
• Work-Life Flexibility
• Leadership
• Purpose Values

Bottom line we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include:

• Associate Benefits We offer a 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.
• Our Culture Ensemble is a place where associates can do their best work and be their best selves. We put people first last and always. Our culture is rooted in collaboration growth and innovation.
• Growth We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement.
• Recognition We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company.

Ensemble is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race color sex sexual orientation gender gender identity religion national origin age disability military or veteran status genetic information or any other basis protected by applicable federal state or local laws. Ensemble also prohibits harassment of applicants or employees based on any of these protected categories.

Due to business operational payroll and regulatory requirements this position is limited to individuals who reside and are authorized to work within the United States. Applications generated from outside the United States will not be considered. Individuals may reapply when located within the United States.

Ensemble provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. If you require accommodation in the application process please contact .

This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the roles range.

Required Experience:

Director