Lead AI Scientist, Search & Legal NLP

CHE003 Thomson Reuters Enterprise Centre GmbH; Zug; Vor Ort; CHF 120.000 - 180.000; Vollzeit

Zusammenfassung

CHE003 Thomson Reuters Enterprise Centre GmbH in Zug or London seeks a Lead Applied Scientist to architect and deploy end-to-end AI solutions for complex legal document understanding. You will lead large-scale projects on semantic chunking, document enrichment, and knowledge graph pipelines, partnering with engineering to ensure scalable and reliable delivery across product lines.

A strong research background and the ability to translate research into production will be essential.

Aufgaben

• Lead the design, build, test, and deployment of end-to-end AI solutions for complex document understanding tasks in the legal domain
• Direct the execution of large-scale projects including: advanced semantic chunking models for lengthy, non-uniformly structured legal documents with adjustable granularity; document enrichment systems with legal and customer-defined taxonomies; LLM-based knowledge graph construction pipelines that extract and link heterogeneous legal knowledge; and scalable synthetic data generation systems
• Serve as the technical lead and primary point of reference, ensuring full accountability for all research deliverables
• Partner with engineering to guarantee well-managed software delivery and reliability at scale across multiple product lines
• Evaluate, Optimize & Advance Capabilities
• Design comprehensive evaluation strategies for both component-level and end-to-end quality, leveraging expert annotation and synthetic data
• Apply robust training methodologies that balance performance with latency requirements
• Lead knowledge distillation initiatives to compress large models into production-ready SLMs
• Maintain scientific and technical expertise through product deliverables, published research, and intellectual property contributions
• Inform Labs shared capabilities and research themes through novel approaches to challenging business problems
• Drive Strategic Technical Direction
• Independently determine appropriate architectures for complex document understanding challenges, balancing accuracy, efficiency, and scalability
• Make critical technical decisions on semantic chunking strategies, document classification approaches, LLM-based knowledge extraction methods, and multi-document reasoning architectures
• Provide input to business stakeholders, mid-to-senior level leadership, and Labs leadership on long-term AI strategy
• Develop in-depth knowledge of TR customers and data infrastructure across multiple products to shape technical roadmaps
• Align, Communicate & Lead Partner closely with Engineering and Product teams to translate complex legal document understanding challenges into scalable, production-ready solutions
• Engage stakeholders across multiple product lines to deeply understand use case requirements, shaping objectives that align document understanding capabilities with diverse business needs including next-generation search and deep legal research
• Mentor and coach team members with varied ML

Jobbeschreibung

CHE003 Thomson Reuters Enterprise Centre GmbH in Zug or London seeks a Lead Applied Scientist to architect and deploy end-to-end AI solutions for complex legal document understanding. You will lead large-scale projects on semantic chunking, document enrichment, and knowledge graph pipelines, partnering with engineering to ensure scalable and reliable delivery across product lines.

A strong research background and the ability to translate research into production will be essential.