Director of Applied Research
Core
Define and drive the technical vision for AI-powered search, discovery, and knowledge systems that unlock value from Thomson Reuters' unique data assets.
Role type
Director of Applied Research (Information Retrieval & Generative AI)
Builds
Enterprise-grade retrieval, ranking, NLP, and knowledge-based AI solutions integrating with Thomson Reuters products
Domain
Legal, Tax, News, and Corporate domains within the Professional Services industry
Deliverable
production ML models | product features
Required skills
Information Retrieval, Semantic Search, Retrieval-Augmented Generation (RAG), Agentic Retrieval Systems, Natural Language Processing, Large Language Models, Knowledge Graphs, MLOps, Cloud-Native AI
Preferred skills
Enterprise search platforms, Legal/Tax/Financial Services domain expertise, Hybrid search, Vector databases, Recommendation systems
Technologies
Python, PyTorch, Hugging Face, AWS, Azure, SageMaker, Azure ML, Azure AI Foundry
Responsibilities
Set strategic direction for IR research and innovation; Build and lead a high-performing team of engineers and scientists; Lead development of production AI solutions; Drive strategy and business impact through AI/ML innovation; Act as a trusted advisor across cross-functional teams
Seniority
Director, strategic leadership with hands-on technical contribution
