Regeneron's business and/or technical problem is to apply cutting-edge AI and machine learning technologies to solve complex problems in the pharmaceutical industry, drive AI adoption, oversee capability development, and ensure successful integration of AI solutions across the organization.
Requirements
- Deep understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agent Frameworks, and Prompt Engineering.
- Proficiency with Cloud AI Platforms and AI algorithms.
- Expert knowledge of machine learning techniques including deep learning, natural language processing, and computer vision.
Responsibilities
- Oversee architecture and design for scalable AI systems and deployment frameworks
- Provide technical guidance on AI model selection, optimization, and evaluation methodologies
- Ensure quality standards, best practices, and ethical considerations are integrated into AI development
- Guide AI development, model building, training, and implementation processes
- Oversee the full AI lifecycle from data collection to model deployment and monitoring
- Collaborate with cross-functional teams to integrate AI solutions into existing systems
- Establish organizational AI & Automation best practices and guidelines
Other
- Develop and execute a comprehensive AI roadmap aligned with business goals
- Identify key AI capabilities and prioritize projects based on business impact
- Collaborate with executives to translate business needs into actionable AI strategies
- Stay abreast of emerging AI technologies and trends, evaluating potential organizational impact
- Make strategic decisions on building versus acquiring AI capabilities to meet current and future business needs
- Lead and collaborate with a high-performing team of AI engineers, data scientists, and ML engineers
- Foster a culture of innovation and continuous learning
- Develop specialized AI talent within the organization
- Delegate tasks effectively, manage project timelines, and monitor team performance
- Manage project budgets, resource allocation, and delivery timelines
- Ensure timely and successful implementation of AI initiatives
- Ensure quality, security, and regulatory compliance in all AI initiatives
- Implement responsible AI principles throughout the development lifecycle
- Proven experience leading AI and Intelligent Automation initiatives with demonstrable success stories
- Strong track record managing high-performance teams of AI engineers
- Familiarity with Responsible AI Principles and commitment to ethical AI solution delivery
- Proven track record of leading and motivating technical teams
- Ability to foster collaboration across departments
- Demonstrated success delivering results in complex environments
- Excellent ability to translate technical concepts for non-technical stakeholders
- Strong executive communication capabilities
- Effective advocacy skills for AI initiatives and resource allocation
- Strong understanding of business drivers in the pharmaceutical industry
- Ability to align AI solutions with strategic organizational goals
- Experience translating business problems into technical solutions
- 15+ years of industry experience in AI development and implementation.
- Experience leading large-scale AI projects, preferably in pharmaceutical or healthcare sectors.
- Master's or Ph.D. degree in Computer Science, Artificial Intelligence, or related field with strong focus on machine learning.
