Directing multidisciplinary teams that develop proofs of concept, experiments, and production-ready applications using machine learning, natural language processing, image analysis, time series analysis, graph-based methods, and retrieval-augmented generation techniques. Establishing and overseeing end-to-end validation approaches for AI-enabled solutions, including data review, design assessment, testing strategy, benchmarking, sensitivity analysis, documentation, traceability, monitoring, and production-readiness evaluation.