Director, Group Head (AI Systems & Scale)

About this role

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.

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.
• Compensation and Benefits
• Novartis Compensation and Benefit Summary
• The salary for this position is expected to range between 1,94,600.00 - 3,61,400.00 USD Annual.
• The final salary offered is determined based on factors such as relevant skills and experience and will be reviewed periodically upon joining Novartis. Novartis may update the published salary range based on company and market factors.
• Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility for annual equity awards.
• US-based eligible associates receive a comprehensive benefits package that includes health, life, and disability coverage, a 401(k) plan with company contribution and matching, and a range of additional benefits. Associates are also eligible for a generous time-off package, including vacation, personal days, holidays, and other leave options. To learn more about the culture, rewards and benefits we offer our people
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