Senior AI Engineer - Q Centrix

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, Ed