Global Pharmaceutical Company | Germany | Hybrid | Permanent
Want to lead an AI team where the work could help bring new medicines to patients faster? This is a hands-on leadership role at one of the world's leading research-driven pharmaceutical companies, building LLM and agentic AI systems across drug discovery and clinical development.
About the Company
A global, research-driven pharmaceutical company operating across 100+ markets, with a pipeline spanning small molecules, biologics and precision medicine. AI is a core part of the company's long-term strategy, backed by dedicated AI teams, academic partnerships and a clear commitment to deploying AI responsibly in a GxP-regulated environment.
The Role
As AI Team Lead, you will own the technical leadership of a cross-functional AI squad working on high-priority use cases across the drug development lifecycle. You will set direction for a team of ML Engineers, Data Scientists and AI Platform specialists while staying close to the code.
You will architect LLM and agentic solutions, make key build-vs-buy decisions and take systems into production to the standard a regulated environment demands. You are the bridge between AI research ambition and engineering reality.
What You Will Do
Technical Leadership
- Lead the design and deployment of LLM-based systems, RAG architectures and agentic AI workflows across research and clinical use cases
- Define the team's approach to model selection, prompt engineering, fine-tuning and evaluation
Team & Delivery
- Lead and mentor a team of 4 to 8 AI and ML Engineers, running technical reviews and building a high-performance culture
- Own delivery across the team's roadmap, balancing exploration with production-grade execution
AI in a Regulated Context
- Ensure AI systems align with GxP guidelines, data governance requirements and the EU AI Act
- Implement model monitoring, drift detection and retraining pipelines for high-stakes decision support
- Champion responsible AI: explainability, bias assessment and human-in-the-loop design
What You Bring
- Hands-on experience building and deploying LLM-based systems, RAG pipelines and agentic AI applications in production
- Proven technical leadership: setting architecture direction, reviewing code and mentoring engineers
- Strong Python and MLOps fundamentals (versioning, monitoring, CI/CD)
- Experience in or alongside a regulated industry such as pharma, medtech or financial services
- Confidence presenting to senior non-technical leaders without losing depth with engineers
- Fluent English; German is a plus but not required
Nice to Have
- Life sciences AI use cases such as literature mining, clinical NLP or regulatory document intelligence
- Knowledge of GxP validation frameworks (GAMP5, 21 CFR Part 11, EU Annex 11)
- Experience with knowledge graphs or biomedical ontologies (MeSH, SNOMED, Gene Ontology)
- A track record of taking an AI team from proof of concept to sustained production delivery
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AI Team Lead in München Arbeitgeber: AI Futures
Als Arbeitgeber bietet unser Unternehmen eine dynamische und innovative Arbeitsumgebung in Hamburg, die es Ihnen ermöglicht, an bedeutenden Post-Merger-Integrationen zu arbeiten und direkt mit der Führungsebene zusammenzuarbeiten. Wir fördern eine Kultur des kontinuierlichen Lernens und der beruflichen Weiterentwicklung, während wir gleichzeitig ein starkes Teamgefühl und eine transparente Kommunikation pflegen. Mit einem beeindruckenden Wachstum und einer klaren Vision für die Zukunft sind wir bestrebt, unseren Mitarbeitern nicht nur herausfordernde Aufgaben, sondern auch attraktive Karrierechancen zu bieten.
