Redefining Healthcare with AI

Xsolis is an AI-driven technology company reducing administrative waste in healthcare by enabling smarter collaboration between providers and payers. Since 2013, our vision has been to create a frictionless healthcare system.

We are proudly headquartered in Franklin, TN - one of the nation's fastest-growing hubs for healthcare innovation - we are at the heart of a thriving ecosystem of health systems, payers, and technology leaders.

Our flagship product, Dragonfly®, is the first and only AI-driven platform to continuously assign real-time predictive scores for medical necessity. Dragonfly has delivered proven results across 600+ hospital, health system, and health plan clients and earned repeated industry recognition. With recognition on the Inc. 5000  and Deloitte Technology Fast 500 lists, Xsolis is also one of the fastest-growing privately-held companies in the country and across North America, and we're looking for talented people to grow with us.

Position Summary Details

We are seeking an experienced Registered Nurse (RN) to serve as a Clinical Subject Matter Expert (SME) supporting our Data Science and AI initiatives. In this role, you will provide clinical expertise throughout the development, validation, and continuous improvement of AI-driven healthcare solutions. You will collaborate closely with data scientists, machine learning engineers, product teams, and clinical stakeholders to ensure AI models and analytics accurately reflect clinical practice, support quality outcomes, and meet healthcare documentation standards.

The ideal candidate combines strong clinical knowledge with analytical thinking, a deep understanding of clinical documentation and utilization management, and an interest in applying emerging AI technologies to improve healthcare outcomes.

Essential Duties & Responsibilities

The essential functions include, but are not limited to the following:

Serve as the clinical expert supporting the design, development, testing, and validation of AI and data science solutions.
Review, interpret, and annotate clinical documentation and medical records to support machine learning model development and evaluation.
Validate AI-generated clinical outputs and assess generative AI responses for clinical accuracy, completeness, and appropriateness.
Evaluate model predictions, identify discrepancies, investigate complex clinical cases, and provide actionable recommendations for model improvement.
Define and validate clinical acceptance criteria, including Definition of Ready and Definition of Done for clinical features and AI outcomes.
Support clinical outcome measurement and ensure AI products align with evidence-based clinical practice and organizational quality standards.
Participate in operational testing, quality assurance, and automation of clinical outcome testing.
Apply expertise in utilization review, revenue cycle, and clinical documentation to ensure accurate interpretation of patient records.
Collaborate with cross-functional teams, including Data Science, Engineering, Product Management, Clinical Operations, and Quality teams, to translate clinical requirements into technical solutions.
Communicate clinical findings, rationale, and recommendations clearly to technical and non-clinical stakeholders.
Support continuous improvement of AI models through ongoing clinical feedback, documentation review, and outcome analysis.

Minimum Qualifications (Knowledge, Skills, and Abilities)

Required Qualifications

Active Registered Nurse (RN) license.
Minimum of 5 years of clinical nursing experience.
Experience in Utilization Review (UR).
Strong understanding of clinical documentation, medical record interpretation, and healthcare documentation standards.
Working knowledge of healthcare reimbursement and revenue cycle processes.
Demonstrated analytical and critical thinking skills with the ability to investigate complex clinical scenarios.
Excellent written and verbal communication skills with the ability to explain clinical concepts to technical audiences.
Comfortable using AI-assisted technologies such as ChatGPT, Claude, or similar generative AI tools.

Preferred Qualifications

Experience conducting medical record audits.
Case Management experience is preferred.
Experience supporting quality improvement or regulatory healthcare programs.
Exposure to healthcare analytics, data science, or machine learning projects.
Basic understanding of statistics and data analysis concepts.
Experience working with healthcare technology, software development, or product teams.

Key Competencies

Utilization Review
Clinical Decision Making
AI Outcome Evaluation and Validation
Clinical Quality Assurance
Medical Record Review and Annotation
Clinical Documentation Interpretation
Revenue Cycle Knowledge
Analytical Problem Solving
Attention to Detail
Cross-functional Collaboration
Communication with Technical and Clinical Stakeholders
Continuous Improvement and Process Optimization

Success Measures

Success in this role will be demonstrated by the ability to:

Ensure AI-generated clinical outputs are clinically accurate, consistent, and aligned with evidence-based practice.
Improve model performance through high-quality clinical review and feedback.
Support reliable, repeatable clinical validation processes for AI products.
Contribute to the successful delivery of AI solutions that improve clinical outcomes and operational efficiency.
Effectively bridge the gap between clinical practice and data science teams through clear communication and expert clinical guidance.

Working Environment and Travel Requirements

Work is typically in a normal office administrative environment involving minimal exposure to physical risks.
Position requires little to moderate physical activity. Mostly sedentary work exerting up to 10 pounds of force occasionally or a negligible amount of force to lift, carry, push, pull, or otherwise move objects. Work involves sitting most of the time, but may involve walking or standing for brief periods of time. No significant stooping is usually required.
This role requires travel to our home offices in TN for training.

Physical Demands & Work Environment

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position.

Reasonable accommodations may be made to enable individuals with disabilities to perform the functions.

In any role at Xsolis, it's a chance to make a complex healthcare system a little more efficient alongside a team that's passionate, fast-moving, and genuinely invested in your success. Your contributions will shape both our product and our culture.

Full-time Employees’ Total Rewards package include:

Medical/Dental/Vision insurance

401K company match

Flexible Paid Time Off

Paid parental leave

HSA/FSA options

Educational reimbursement program

Employer-paid EAP & Mental Health services

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Xsolis is proud to be an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all. We encourage candidates of every background to apply.

All candidates must successfully pass a background check and fall under the same security role, which includes access to sensitive information, including proprietary data and PHI.

Work Authorization Notice: Please note that we do not provide visa sponsorship or immigration support for this position. Applicants must already be authorized to work in the United States on a full-time, permanent basis without the need for current or future sponsorship.

All official communications from our recruitment team will only come from @xsolis.com. Verify open roles at https://www.xsolis.com/about/careers. For information regarding how we collect, use, and protect applicant personal information, please review our CCPA Privacy Notice for Job Applicants.

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