Job Title: Director & Group Head (AI Systems & Scale)
Location: Basel, Switzerland
Relocation Support: Novartis is unable to offer relocation support: please only apply if accessible.
Novartis has embraced a bold strategy to drive a company‑wide digital transformation. This strategy positions Novartis as an industry leader by proactively adopting digital technologies that foster innovative approaches to accelerate drug discovery and development. By utilizing internal and external R&D data with data science, predictive models, generative AI, and machine‑learning, the goal is to identify new targets, create more effective therapeutic molecules, better predict drug pharmacokinetics and safety risks, refine clinical trial design, and significantly shorten development cycles. The AI4R team leads Novartis Biomedical Research (BR) in exploring and applying advanced AI and ML methodologies to generate novel drug‑discovery insights and to speed and improve drug‑discovery efficiency while focusing on patients’ needs.
AI4R partners with drug discovery teams, raises the level of AI expertise across BR and ensures that BR science keeps up with the rapidly evolving ecosystem of AI technologies by connecting with AI leaders in academia and industry.
This leadership role is for the AI Systems & Scale group within AI4R and will involve strong technical and project leadership, critical assessment and specialized deployment of compute, data, model, code and agentic platforms for rapid enablement and adoption of AI approaches, algorithms, models and workflows to maximize impact on key domains that will lead to developing better drugs faster.
Key Responsibilities
* Define and lead the multi‑year roadmap for scalable AI systems, platforms, and agentic architectures across research.
* Lead and scale multidisciplinary teams delivering production‑grade AI systems and intelligent applications.
* Establish reference architectures for agentic systems, including orchestration, retrieval, memory, and human‑in‑the‑loop controls.
* Build and standardize enterprise agentic platforms with reusable components, workflows, and evaluation frameworks.
* Define and enforce machine‑learning operations and large‑language‑model operations standards across AI systems development.
* Own agent quality and safety engineering, including guardrails, policy enforcement, and failure detection mechanisms.
* Drive scalable deployment strategies, ensuring performance, reliability, cost efficiency, and multi‑tenant architecture.
* Define performance metrics linking system effectiveness to scientific outcomes, including accuracy, robustness, and efficiency.
* Partner with data, security, and platform teams to ensure governance, compliance, and responsible data usage.
* Drive cross‑functional collaboration and portfolio management to prioritize high‑impact AI system initiatives and reduce duplication.
Essential Requirements
* Demonstrated experience leading machine‑learning capability development initiatives across multiple drug discovery domains and teams.
* Strong experience applying machine‑learning across functional areas such as computational chemistry or protein modeling.
* Proven expertise in large‑model training, including high‑performance computing, cloud environments, and distributed systems.
* Deep curiosity and passion for biomedical sciences and therapeutic discovery.
* Strong ability to explain complex machine‑learning concepts clearly to both technical and non‑technical stakeholders.
* Minimum of 10+ years of experience in innovation, development, deployment, and support of machine‑learning solutions.
* Strong coding proficiency in Python and deep‑learning frameworks, with experience using version control systems.
* Proven ability to manage complexity, align stakeholders, and deliver results in matrixed environments.
Desirable Requirements
* Experience building enterprise‑scale agentic platforms with orchestration, memory, and retrieval systems.
* Expertise in machine‑learning operations and large‑scale model deployment with monitoring and drift detection.
Commitment to Diversity and Inclusion
Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.
Accessibility and Accommodation
Novartis is committed to working with and providing reasonable accommodation to all individuals. If, due to a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, please email inclusion.switzerland@novartis.com and share the nature of your request along with your contact information. Please include the job requisition number in your message.
Benefits and Rewards
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