Director, Group Head (AI Systems & Scale)
Novartis
June 27, 2026
Remote friendly (Cambridge, MA)
United States
IT
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 (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 across AI systems development.
- Own agent quality and safety engineering (guardrails, policy enforcement, failure detection).
- Drive scalable deployment strategies (performance, reliability, cost efficiency, multi-tenant architecture).
- Define performance metrics linking system effectiveness to scientific outcomes.
- 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 initiatives and reduce duplication.
Essential Requirements:
- Experience leading machine learning capability development across multiple drug discovery domains/teams.
- Experience applying ML in computational chemistry or protein modeling.
- Expertise in large model training (HPC, cloud, distributed systems).
- Passion for biomedical sciences and therapeutic discovery.
- Ability to explain complex ML concepts to technical and non-technical stakeholders.
- 10+ years developing, deploying, and supporting ML solutions.
- Strong Python/deep learning coding skills; experience with version control.
- Proven ability to manage complexity and deliver in matrixed environments.
Desirable Requirements:
- Experience building enterprise-scale agentic platforms (orchestration, memory, retrieval).
- MLOps/LLM deployment expertise with monitoring and drift detection.
Benefits:
- Salary expected range: $194,600–$361,400 USD annual; performance-based cash incentive; potential annual equity awards; US benefits package and time-off.
Application instructions: Not specified.
- 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 (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 across AI systems development.
- Own agent quality and safety engineering (guardrails, policy enforcement, failure detection).
- Drive scalable deployment strategies (performance, reliability, cost efficiency, multi-tenant architecture).
- Define performance metrics linking system effectiveness to scientific outcomes.
- 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 initiatives and reduce duplication.
Essential Requirements:
- Experience leading machine learning capability development across multiple drug discovery domains/teams.
- Experience applying ML in computational chemistry or protein modeling.
- Expertise in large model training (HPC, cloud, distributed systems).
- Passion for biomedical sciences and therapeutic discovery.
- Ability to explain complex ML concepts to technical and non-technical stakeholders.
- 10+ years developing, deploying, and supporting ML solutions.
- Strong Python/deep learning coding skills; experience with version control.
- Proven ability to manage complexity and deliver in matrixed environments.
Desirable Requirements:
- Experience building enterprise-scale agentic platforms (orchestration, memory, retrieval).
- MLOps/LLM deployment expertise with monitoring and drift detection.
Benefits:
- Salary expected range: $194,600–$361,400 USD annual; performance-based cash incentive; potential annual equity awards; US benefits package and time-off.
Application instructions: Not specified.