Director, AI Engineering (Global Development)

Our Global Development (GD) team is seeking a Director, AI Engineering to embark on a digital transformation incorporating AI, machine learning, and automation. The goal is to help us reduce cycle times, improve quality, and allow us to focus on more meaningful work. You will play a key role in developing platforms, processes and technologies across GD.

A typical day may include the following:
• Provide strategic direction and technical leadership to an eventual team of engineers to design, implement, and refine novel algorithms and scalable AI /ML solutions. These will be tailored to applications such as clinical trial design, regulatory intelligence, patient identification and stratification. Oversee the deployment of these solutions into production environments, employing hands-on technical expertise to ensure excellence in execution.
• Architect and refine data engineering and data architecture strategies to integrate and optimize diverse data sources.
• Partner with the Digital Transformation AI lead and leaders across Global Development to evaluate and implement use cases for implementing AI in the enterprise, including automating manual processes such as protocol review, monitoring, and adverse event review
• Provide strategic leadership to initiatives with Global Development IT and enterprise IT to building infrastructure (software and hardware) to support advanced analytics, including vendor evaluation
• Collaborate with senior leaders to identify high-value opportunities for AI/ML integration and lead the execution of innovative solutions that address critical business challenges.
• Empower colleagues to leverage AI/ML effectively by providing guidance that bridges technical expertise with strategic insights, fostering a culture of innovation and continuous learning.
• Establish robust validation frameworks for AI models, ensuring reliability and efficiency
• Stay at the forefront of AI/ML advancements, evaluating emerging technologies and methodologies for potential adoption within Regeneron.
• Lead initiatives to continuously improve the organization's AI capabilities, fostering a competitive edge.

This may be for you if you:
• Want to be a part of scaling AI in a growing multi-national organization.
• Can demonstrate managing cross functional teams.
• Demonstrated success bringing transformative change.
• Want to have an impact on patient lives
T

o be considered you are to have a PhD in Computer Science, Data Science, AI/ML, Engineering, or related with 10-12 years experience or a Master or Bachelor’s with 12–15+ years experience in AI?ML or software engineering. Your experience must include a deep understanding of generative AI, machine learning, natural language processing, and statistical modeling. Expertise in programming (Python, R, etc.), with a focus on applying advanced technical skills to data analysis, automation, and software development is required. Expertise in database platforms and cloud computing infrastructure. Experience managing and analyzing large-scale clinical datasets Excellent communication skills, including experience presenting to senior leadership, both technical and non-technical. Experience managing multiple projects in parallel. Experience working in and managing cross-functional teams. Have track record of model development, implementation to scale, maintenance, and evaluation in a healthcare of life sciences setting
May require travel up to 20%.

Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive culture that provides comprehensive benefits, which vary by location. In the U.S., benefits may include health and wellness programs (including medical, dental, vision, life, and disability insurance), fitness centers, 401(k) company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) for eligible employees at all levels! For additional information about Regeneron benefits in the US, please visit For other countries’ specific benefits, please speak to your recruiter.
Please be advised that at Regeneron, we believe we are most successful and work best when we are together. For that reason, many of Regeneron’s roles are required to be performed on-site. Please speak with your recruiter and hiring manager for more information about Regeneron’s on-site policy and expectations for your role and your location.

Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business.

For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location.

Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.

Salary Range (annually)