remote
Enterprise AI Engineer - Navitus Health Solutions / Lumicera Health Services
AI Engineer
Develop and deploy enterprise‑scale AI solutions that improve pharmacy benefit management, leveraging Python, machine learning, NLP, and cloud services to drive cost‑saving insights and automation.
About the role
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.
Skills
pythonmachine learningnatural language processingaws