Senior AI Engineer

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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