Global Development (GD) is embarking on a digital transformation project that will incorporate AI, machine learning, and automation into our processes to help us reduce cycle times, improve quality, and allow us to focus on more meaningful work. This position will play a key role in developing the platforms, processes and technologies that will incorporate AI effectively across GD. The AI engineer will work with a team of engineers and scientists to help bring transformative change to GD. The role will encompass a wide range of AI/ML-related activities, from data engineering and technical development to optimizing vendor systems for use at Regeneron to mentoring colleagues in best practices for adopting and AI in their everyday workflows. Development will not necessarily be limited to the use of generative AI, but may also include technical implementation of machine learning models, natural language processing, and other approaches. The engineer will work with stakeholders across GD and Regeneron (e.g. enterprise IT, commercial, research, etc.) to develop solutions and architectures that not only address GD’s needs but also integrate into the overall corporate strategy. As a Senior Manager, a typical day may include: Implement, and refine novel algorithms and scalable AI /ML solutions tailored to GD applications such as clinical trial design, regulatory intelligence, patient identification and stratification, etc. Deploy these solutions to production environments as appropriate Implementation includes hands-on development and coding. Develop, implement, and improve data architecture and engineering approaches for diverse data sources across GD Contribute to initiatives with GDIT and enterprise IT to build the necessary infrastructure (software and hardware) to support advanced analytics Collaborate with GD colleagues to help them approach AI/ML more effectively Establish rigorous validation frameworks for AI models and monitor existing models for accuracy and efficiency Stay up to date with the latest advances in the field and, as appropriate, evaluate them for adoption at Regeneron