Principal AI Engineer designs and develops scalable solutions using AI tools and machine-learning models. Performs research and testing to develop machine learning algorithms and predictive models. Being a Principal AI Engineer utilizes big data computation and storage tools to create prototypes and datasets. Conducts model training and evaluation. Additionally, Principal AI Engineer integrates, tests, tunes, and monitors solutions. Proficient with multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or sciket-learn. Requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager or head of a unit/department. The Principal AI Engineer work is highly independent. May assume a team lead role for the work group. A specialist on complex technical and business matters. To be a Principal AI Engineer typically requires 7+ years of related experience.