Director & Group Head (AI-Systems & Scale)

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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 whilst focusing on patients’ needs. /p pAI4R partners with drug discovery teams, raises the level of AI expertise across Biomedical Research (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. /p pThis is a leadership role for the AI Systems Scale group within AI4R and will be tasked with 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 areas of biomedical research that will potentially lead to developing better drugs, faster. /p h3Job Description /h3 pStep into a leadership role shaping the future of AI at scale, where advanced agentic systems and enterprise AI platforms transform how biomedical research is delivered.

You will lead high-performing engineering teams, define scalable architectures, and ensure AI solutions are robust, governed, and impactful—bringing innovative therapies closer to patients faster. /p h3Key Responsibilities /h3 ul liDefine and lead the multi-year roadmap for scalable AI systems, platforms, and agentic architectures across research. /li liLead and scale multidisciplinary teams delivering production-grade AI systems and intelligent applications. /li liEstablish reference architectures for agentic systems, including orchestration, retrieval, memory, and human-in-the-loop controls. /li liBuild and standardize enterprise agentic platforms with reusable components, workflows, and evaluation frameworks. /li liDefine and enforce machine learning operations and large language model operations standards across AI systems development. /li liOwn agent quality and safety engineering, including guardrails, policy enforcement, and failure detection mechanisms. /li liDrive scalable deployment strategies, ensuring performance, reliability, cost efficiency, and multi-tenant architecture. /li liDefine performance metrics linking system effectiveness to scientific outcomes, including accuracy, robustness, and efficiency. /li liPartner with data, security, and platform teams to ensure governance, compliance, and responsible data usage. /li liDrive cross-functional collaboration and portfolio management to prioritize high-impact AI system initiatives and reduce duplication. /li /ul h3Essential Requirements /h3 ul liDemonstrated experience leading machine learning capability development initiatives across multiple drug discovery domains and teams. /li liStrong experience applying machine learning across functional areas such as computational chemistry or protein modeling. /li liProven expertise in large model training, including high-performance computing, cloud environments, and distributed systems. /li liDeep curiosity and passion for biomedical sciences and therapeutic discovery. /li liStrong ability to explain complex machine learning concepts clearly to both technical and non-technical stakeholders. /li liMinimum of 10+ years of experience in innovation, development, deployment, and support of machine learning solutions. /li liStrong coding proficiency in Python and deep learning frameworks, with experience using version control systems. /li liProven ability to manage complexity, align stakeholders, and deliver results in matrixed environments. /li /ul h3Desirable Requirements /h3 ul liExperience building enterprise-scale agentic platforms with orchestration, memory, and retrieval systems. /li liExpertise in machine learning operations and large-scale model deployment with monitoring and drift detection. /li /ul h3Commitment to Diversity and Inclusion /h3 pNovartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve. /p h3Accessibility and Accommodation /h3 pNovartis is committed to working with and providing reasonable accommodation to all individuals. ph3Job Description Summary /h3 pJob Title: Director Group Head (AI Systems Scale) /p p#LI-Hybrid /p pLocation: Basel, Switzerland /p pRelocation Support: This role is based in Basel, Switzerland.

Novartis is unable to offer relocation support: please only apply if accessible. /p pNovartis has embraced a bold strategy to drive a company-wide digital transformation.

Our objective is to position Novartis as an industry leader by proactively adopting digital technologies that foster innovative approaches to hasten drug discovery and development.

By utilizing both internal and external RD data with the power of data science, predictive models, generative AI, and machine learning, our objective 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.

As Director Group Head (AI-Systems Scale), you will drive the design and deployment of next-Generation AI systems, enabling scientists to seamlessly leverage data, models, and intelligent workflows to accelerate drug discovery.

If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or to receive more detailed information about the essential functions of a position, please email and share the nature of your request along with your contact information.

Please include the job requisition number in your message. /p h3Skills Desired /h3 ul liAgentic AI /li liAI Platforms /li liAI Systems /li liComputing /li liData Science /li liDeep Learning /li liMachine Learning (ML) /li liMachine Learning Operations /li liResearching /li liScience /li /ul /p