AI Architect

Design, develop, and deploy AI, Machine Learning, and Generative AI solutions that address business problems across the disability insurance value chain, including claims segmentation, fraud detection, risk scoring, duration modeling, outcome prediction, and next-best-action recommendations. Translate business, actuarial, and claims objectives into practical AI/ML use cases, analytical designs, and production-ready solution components. Work across the full ML lifecycle, including problem framing, data exploration, feature engineering, model development, validation, deployment support, monitoring, retraining, and continuous improvement. Build and optimize supervised, unsupervised, deep learning, NLP, and Generative AI models using structured and unstructured data such as claims history, medical records, claim notes, policy data, and operational data.