Director, Group Head; AI Systems & Scale

About the Role (Director & Group Head, AI Systems & Scale)

Drive the design and deployment of next-generation AI systems to accelerate drug discovery. Lead engineering teams, define scalable architectures, and ensure AI solutions are robust, governed, and impactful.

• Define and lead the multi-year roadmap for scalable AI systems, platforms, and agentic architectures.
• Lead and scale multidisciplinary teams delivering production-grade AI systems.
• Establish reference architectures for agentic systems (orchestration, retrieval, memory, human-in-the-loop).
• Build and standardize enterprise agentic platforms with reusable components, workflows, and evaluation frameworks.
• Define and enforce MLOps and LLMOps standards.
• Own agent quality and safety engineering (guardrails, policy enforcement, failure detection).
• Drive scalable deployment strategies (performance, reliability, cost efficiency, multi-tenant architecture).
• Define metrics linking system effectiveness to scientific outcomes.
• Partner with data/security/platform teams for governance, compliance, and responsible data usage.
• Manage portfolio priorities and reduce duplication.

• 10+ years leading innovation/development/deployment/support of ML solutions.
• Experience leading ML capability development across drug discovery domains.
• ML expertise in computational chemistry and/or protein modeling.
• Large model training expertise (HPC, cloud, distributed systems).
• Passion for biomedical sciences and therapeutic discovery.
• Ability to explain complex ML to technical and non-technical stakeholders.
• Python and deep learning framework proficiency; version control experience.
• Ability to manage complexity and deliver in matrixed environments.

• Enterprise-scale agentic platform experience (orchestration, memory, retrieval).
• ML Ops and large-scale deployment with monitoring and drift detection.