Depending on their level of experience, the successful candidate would be expected to contribute in several of the following areas: Establish and drive thought leadership opportunities related to topics of importance. Generate innovative ideas, establish new technology development directions, and shape and execute technical projects. Work with AI engineers to integrate ML solutions in the wider technology landscape. Maintain state-of-the-art knowledge and contribute to technical discussions and reviews as an expert in related areas of responsibility. Work across multiple cross-functional teams in high-visibility roles to prototype end-to-end data and software solutions. Apply best practices in software design, DevOps, coding, testing, security and automation. Willingness to provide technical, social, and practical mentorship guidance to others as needed. Experience with cloud environments such as GCP, Azure and AWS.