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Ensemble Health Partners

End-to-end revenue cycle management for hospitals

Head of Applied AI

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeAustin, TX, USA

About the Job

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 and moving teams from experimentation to deployed, measurable business outcomes.
  • Hands-on fluency with 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 ability to influence technical and non-technical stakeholders.
  • Must currently reside in the Austin area or be willing to relocate; relocation assistance may be available for eligible candidates.
  • Must reside and be authorized to work within the United States.

Responsibilities

  • Own the AI application practice: establish standards for how pods design and build workflow-specific reasoning, prompts, agent architectures, and tool use across the portfolio.
  • Apply the platform's shared reasoning and agentic frameworks to prioritized revenue cycle problems, including denials, coding, eligibility, prior authorization, and other operational and clinical workflows.
  • Tune and evaluate models for specific initiatives within the platform's pipelines and evaluation standards.
  • Use the AI organization's platform capabilities to drive its evolution through operational demand, without creating parallel model relationships or shadow infrastructure.
  • Partner with the Head of Operator Engagement so each AI capability is validated by front-line teammates on real workflows in shadow, parallel, or controlled production mode before concept lock.
  • Ensure each initiative conforms to enterprise AI safety, evaluation standards, and guardrails.
  • Provide technical leadership to AI Engineers and Scientists assigned to each pod through hands-on design, review, and problem-solving.

Desired Qualifications

  • Healthcare or revenue cycle domain experience and familiarity with regulatory and security frameworks such as HIPAA and 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.
  • An advanced degree in computer science, AI/ML, or a related field.

About the Company

Ensemble Health Partners

End-to-end revenue cycle management for hospitals

Ensemble Health Partners provides end-to-end revenue cycle management for hospitals and health systems. It handles the entire process from patient intake to final payment, with teams and technology embedded into the provider's operations and a revenue model tied to performance improvements. The company uses its proprietary EIQ platform (analytics, AI, and workflow automation) to optimize revenue cycle processes, reduce insurance denials, and speed cash collection, managing more than $39 billion in net patient revenue. Its approach differentiates it by being a true managed-services partner with full accountability for financial outcomes and a track record of meeting initial client goals. The overarching goal is to improve healthcare providers’ financial performance so they can focus on patient care.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Cincinnati, OH
Founded
2014

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