AI Team Lead

AI Team Lead (LLMs, RAG & Agentic AI)Global Pharmaceutical Company | Germany | Hybrid | PermanentWant 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 CompanyA 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 RoleAs 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 DoTechnical 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 evaluationTeam & 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 executionAI 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 designTech EnvironmentLLMs (GPT-4o, Claude, Llama) | RAG & Vector Search | Agentic Workflows | LangChain / LlamaIndex | Azure OpenAI | Python / PyTorch | MLflow / Kubeflow | Azure / AWS | Docker / KubernetesWhat 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 requiredNice 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 deliveryInterested?This is a confidential search managed by AI Futures. Apply directly or message Kyle at kyle@aifutures.group for a confidential conversation.