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.

Develop NLP and document intelligence pipelines for extracting, classifying, summarizing, and interpreting information from medical records, claim notes, correspondence, and other unstructured documents.

Support Generative AI solution development, including prompt engineering, embeddings, Retrieval-Augmented Generation, vector search, model evaluation, guardrails, and integration with enterprise applications.

Apply robust model validation practices, including performance tuning, bias detection, explainability analysis, stability testing, and business impact assessment.