MRO is The Single Source for Smarter Data™—driving a new era of clinical data intelligence where data is connected, structured, and transformed into actionable insights. The result: confident decisions, operational precision, accelerated research, and most importantly, better patient care.
This innovative model for clinical data management is built for speed and scale, combining connectivity, deep clinical expertise, and advanced automation to turn a fragmented healthcare ecosystem into a connected pathway where every data point delivers impact. The outcome is a faster, smarter, more secure platform for managing enterprise clinical data that drives better outcomes and creates revenue-generating opportunities for our client partners while enhancing security, compliance, and clinical integrity.
With 24 years of trusted solutions partnerships,
and a portfolio of brands including Q-Centrix, MRO knows that a stronger healthcare ecosystem begins with smarter data, leading to data-driven decisions and better performance. Our team of experts is key to our success, and we are proud to have been named a Top Workplace USA for five years in a row.
Job Summary
This role focuses on deploying AI-powered solutions to extract structured data from unstructured medical charts. The Senior AI Engineer will work with technical and clinical teams to bring AI models into real-world use, improving efficiency in healthcare data processing while ensuring accuracy, usability and responsible AI practices.
Essential Functions
- Develop, test, and deploy LLM-powered extraction pipelines for clinical text at scale.
- Automate prompt execution, result validation, and error handling to enhance reliability.
- Monitor and maintain production AI models, ensuring uptime, accuracy, and compliance.
- Work with product, data, engineering, and clinical teams to integrate AI outputs into real-world solutions.
- Evaluate and integrate third-party AI solutions when appropriate.
- Stay current with advancements in LLM deployment, model serving, and responsible AI practices.
- As a growth organization, roles and responsibilities often evolve and adapt over time. As such, this job description may not comprehensively account for future activities, responsibilities, and priorities—these may evolve right along with us!
Required Abilities, Education, And Skills
- 5+ years of experience in AI deployment or applied Machine Learning.
- Strong software engineering foundation with proficiency in Python.
- Familiarity with cloud platforms, data engineering and pipeline automation.
- Bachelor’s degree in Computer Science, AI, a related field, or equivalent work experience.
- Strong cross-functional collaboration skills.
- Proven track record of thriving in a start-up environment.
Preferred Abilities, Education And Skills
- 2+ Experience deploying LLMs in production environments.
- Advanced degree in Computer Science or related field.
- Experience integrating AI with healthcare data (EHRs, clinical databases).
- Experience working in regulated industries with an understanding of security, compliance, and responsible AI.
Supervisory Responsibilities: None
Work environment/Physical Demands: Continuous sitting and fine manipulation.
Travel Requirements: 5%
Work Authorization: Legally able to work in the United States without sponsorship
Authenticity is essential to our hiring process. Submissions or interview responses created with AI are easily identified and will remove you from consideration. The same applies to using AI tools during interviews—we want to hear directly from you. We may also use technology to detect AI-generated content. Please share your genuine experiences and perspective as it’s the only way we can truly get to know you.
Total Rewards
At Q-Centrix (An MRO Company), our purpose—safer, consistent, quality healthcare for all—drives everything we do. To accomplish this important work, we aim to attract, engage, and retain a talented team by offering a compelling, equitable rewards package. This includes an inclusive culture, a flexible work environment, learning and development opportunities, and robust benefits that support both health and financial wellness. In addition, our supportive community fosters collaboration, learning, growth, and enjoyment, making MRO a place where meaningful work and a positive work experience go hand in hand. The target salary range for this role is $130,000.00 to $150,000.00 per year plus an annual bonus targeted at 10% of the individual's annual salary. An individual’s salary within this range is based on multiple factors including but not limited to skills, experiences, licensure, certifications, and other business and organizational considerations. The annual bonus payout may be higher or lower than target, dependent on individual and company performance and is considered variable pay.
In addition to our inclusive and innovative working environment and comprehensive compensation package, team members enjoy:
- Robust benefits package including medical, vision, dental, health savings accounts, company paid short- and long-term disability, employee assistance program, paid parental leave, life insurance, accident insurance, and other voluntary benefit programs for employees and their eligible dependents.
- 401(k) retirement plan with a company match.
- Opportunities for professional development.
Commitment To Diversity, Equity, Inclusion And Belonging
At Q-Centrix (An MRO Company), we hire people who love learning, value innovation, and believe in our purpose of safer, consistent, quality health care for all. We applaud qualified applicants who are accountable and committed to producing quality work. As an Equal Opportunity Employer, we support and value diversity, dignity, and respect in our work environment, and are committed to creating an inclusive environment in which everyone can thrive.
We employ people based on the needs of the business and the job, and their individual professional qualifications. Here’s what does not impact our employment decisions: race, religious creed, religion, color, sex, sexual orientation, pregnancy, parental status, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status, health, marital, civil union or domestic partnership status, or any status or characteristic protected by the laws or regulations in locations where we operate. If you are an individual with a qualified disability and you need an accommodation during the interview process, please reach out to your recruiter.
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