Senior AI Engineer

We’re super into the work we do and the community we’ve built and think you might be, too. 

Q-Centrix is the largest exclusive provider of clinical data management solutions to acute care hospitals. A market disruptor and innovator, Q-Centrix believes that there is nothing more valuable than clinical data as it is critical in delivering safe, consistent, quality healthcare for all. Bringing together deep expertise across providers, clinical knowledge, data and software, Q-Centrix provides an integrated approach that can redefine and streamline the data management and real-world application process for the healthcare industry, thereby enabling increased efficiency and exciting new solution opportunities. 

Providing the industry’s first Enterprise Clinical Data Management (eCDM™) platform, Q-Centrix utilizes its market-leading software, the largest and broadest team of clinical data experts, a modern-stack software and reporting data structure, and best practices from its 1,200+ hospital partners to securely extract, curate, structure, and enhance clinical data at the highest quality level. The resulting high quality structured clinical data is then utilized to support reporting demands, drive improved care delivery, meet financial and operational needs, enable population health workflows and power broad research use cases. Its solutions cover a breadth of clinical segments, including cardiovascular, oncology, infection prevention, trauma and real-world data applications. Q-Centrix’s platform enables its partners to access valuable clinical information that may otherwise be trapped across multiple workflow systems and clinical information platforms. Q-Centrix is positioned for continued growth as they integrate new capabilities and business lines. 

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: None

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, 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 Q-Centrix a place where meaningful work and a positive work experience go hand in hand. It’s no wonder we’ve earned the Great Place to Work distinction multiple years in a row! 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.