Director, AI Engineering

Novartis Services Incorporated • East Hanover, NJ • 2d ago

Job Description SummaryThis position will be located at the East Hanover, NJ location and will not have the ability to be located remotely. Job DescriptionThe Insights and Decision Science (IDS) team is dedicated to enabling improved decision making at Novartis by leveraging superior data to identify actionable insights that drive enhanced performance. We collaborate closely with the US business, bringing insights and challenging ideas to empower smarter, data-driven decision-making. Reporting into Executive Director of AI and Innovation Data Science, the Director of AI Engineering is crucial in defining and promoting best practices in AI model development and deployment. This position is pivotal in identifying and incubating cutting-edge AI technologies that align with the strategic goals of the company, enhancing the capabilities in data-driven decision-making. The Director of AI Engineering, through their forward-thinking, ensure seamless integration of innovative AI solutions into existing frameworks, ensuring they are scalable, reliable, and tailored to meet the unique demands of the pharmaceutical industry. They will contribute to our mission of advancing healthcare through technology, ultimately improving patient outcomes and driving business success. Key Responsibilities:Architect and develop end-to-end Gen AI and machine learning solutions, focusing on scalability, performance, and modularity. Design, train, and fine-tune Large Language Models (LLMs) like GPT, Claude, or Cohere for various applications or pilots Optimize AI systems for deployment on cloud platforms such as AWS, Azure, Snowflake or Databricks ensuring high performance and cost efficiency. Develop APIs and integrate AI models into existing enterprise systems for seamless business adoption. Collaborate with data scientists, software engineers, IDS colleagues, and business teams to turn complex requirements into pilot AI solutions. Stay updated on the latest advancements in AI, especially in LLM architectures, generative AI, and model optimization techniques. Conduct technical reviews, ensure code quality, and enforce best practices in AI development and deployment. Maintain the analytics workbench along with the data science team

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