Develops and demonstrates science-based AI solutions for prospective customers across energy, chemistry, and manufacturing. Responsibilities include customer discovery, data cleaning and analysis, predictive modeling, technical demonstrations, SOW development, prototype creation, and translating model results into business value. The role collaborates with Sales, Product, AI, and Engineering teams, supports consultative selling, and travels to customer sites up to 30% of the time.

Develop, deploy, and integrate machine learning and deep learning models for scientific and industrial problems (materials, chemistry, process optimization). Build data pipelines, feature engineering, model evaluation, and scalable production integrations. Collaborate with scientists, engineers, product, and customer teams to translate domain problems into AI solutions, support deployments, and communicate results. Conduct strategic research and stay current with AI/ML methods; periodic customer travel.