Director, AI Foundations & Reusable Capabilities

Novartis Ireland; Dublin; On-site; EUR 102,000 - 190,000; Full time

Benefits offered by this job

Insurance plans

Retirement plans

Wellbeing resources

Global recognition programs

Flexible hybrid working options

14 weeks parental leave

Job summary

Novartis Ireland seeks a Director to lead AI Systems Foundations and Reusable Capabilities. You’ll shape foundations enabling faster, more reliable AI across Development, driving reusable architectures and capabilities for agentic AI, retrieval, knowledge systems, and MLOps.

The role requires deep AI system expertise, leadership of senior teams, and a track record in designing scalable reusable components within regulated environments.

Qualifications

• 10+ years leading AI, ML, AI engineering, or technical architecture initiatives.
• Experience designing reusable AI architectures, platforms, frameworks, or technical capabilities.
• Deep expertise in modern AI systems, including LLMs, RAG, agentic systems, orchestration, and AI lifecycle management.
• Experience translating prototypes into scalable reusable capabilities.
• Experience leading senior technical teams in complex environments.

Responsibilities

• Define reusable architectures, design patterns, and reference implementations for AI systems across Development.
• Establish approaches for agentic AI, retrieval-augmented generation, knowledge systems, simulation, digital twins, and human-in-the-loop AI.
• Provide guidance on reuse, extension, and evolution of AI capabilities.
• Ensure modularity, interoperability, scalability, and maintainability of AI systems.

Skills

Leadership experience

Reusable AI architectures

LLMs & AI lifecycle

Agentic systems knowledge

AI engineering practices

Job description

Novartis Ireland seeks a Director to lead AI Systems Foundations and Reusable Capabilities. You’ll shape foundations enabling faster, more reliable AI across Development, driving reusable architectures and capabilities for agentic AI, retrieval, knowledge systems, and MLOps.

The role requires deep AI system expertise, leadership of senior teams, and a track record in designing scalable reusable components within regulated environments.