This Principal Digital Architect role focuses on defining and governing the architecture of large-scale digital platforms, with a specific emphasis on AI systems. The role involves owning end-to-end architecture solutions, ensuring scalability, performance, security, and rapid delivery, while influencing enterprise technology strategy. Key responsibilities include creating AI reference architectures, assessing AI technologies, and guiding teams in taking AI systems from proof-of-concept to scaled production use, balancing classical ML, LLM-based approaches, and non-AI solutions.
Full Stack LLM Engineer – Data Scientist role focused on developing and engineering end-to-end system features using Python, with a cloud-first and agile mindset, involving the full software development lifecycle. The role requires proficiency in Python and has a preference for experience with cloud and agile methodologies, front-end and back-end technologies, and databases. Machine Learning knowledge is listed as 'Working Knowledge'.
Senior Data Scientist at Caterpillar responsible for leading analytics initiatives, developing and validating predictive models using ML/AI, building analytics-ready datasets, creating dashboards, and operationalizing analytics solutions. The role involves partnering with various business units to deploy and adopt these solutions, ensuring data governance and using modern engineering practices. Experience with MLOps, LLMs/NLP, and driving business adoption is a plus.