Enterprise AI Engineer - Navitus Health Solutions / Lumicera Health Services

Key Responsibilities

• Design, build, and productionize machine‑learning models that optimize drug pricing, utilization, and patient outcomes.
• Develop data pipelines and feature stores on AWS to ingest, clean, and transform large pharmacy‑claims datasets.
• Implement natural language processing techniques to extract insights from clinical notes, formularies, and provider communications.
• Collaborate with product, analytics, and operations teams to integrate AI capabilities into existing PBM workflows and APIs.
• Monitor model performance, conduct A/B testing, and iterate to ensure accuracy, fairness, and regulatory compliance.

Requirements

• 5+ years of professional experience in machine learning or AI engineering, preferably in healthcare or finance.
• Strong proficiency in Python and its ML ecosystem (e.g., scikit‑learn, TensorFlow, PyTorch).
• Hands‑on experience with AWS services such as S3, SageMaker, Lambda, and Redshift for scalable model training and deployment.
• Demonstrated ability to build robust data pipelines and work with large, structured and unstructured datasets.
• Excellent problem‑solving skills, with a track record of delivering production‑ready AI solutions in cross‑functional teams.