Director of AI Systems Foundations & Reusable Capabilities

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

Benefits offered by this job

Flexible and hybrid working options

Job summary

Novartis is seeking a Director, AI Systems Foundations & Reusable Capabilities to lead the creation of reusable AI foundations across Development, enabling faster, more reliable AI systems.

You will drive architectures for agentic AI, retrieval and knowledge systems, simulation, digital twins, and AI lifecycle management, partnering with DSAI and other leaders to ensure interoperability and continuous improvement.

Qualifications

• 10+ years leading AI, machine learning, 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 and local solutions 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.
• Build and maintain reusable AI components, frameworks, templates, and capability assets; establish AI engineering practices for MLOps, LLMOps, AgentOps.
• Translate project-level solutions into reusable architectures, components, and implementation blueprints; guide engineers in creating reusable systems.
• Evolve the Development AI capability base by capturing learnings and sharing patterns across DSAI.

Skills

AI leadership

Machine learning

AI engineering

Technical architecture

Healthcare domain experience

Tools

LLMs

RAG

Orchestration

MLOps

Job description

Novartis is seeking a Director, AI Systems Foundations & Reusable Capabilities to lead the creation of reusable AI foundations across Development, enabling faster, more reliable AI systems.

You will drive architectures for agentic AI, retrieval and knowledge systems, simulation, digital twins, and AI lifecycle management, partnering with DSAI and other leaders to ensure interoperability and continuous improvement.