Senior Applied Scientist, Generative AI

Description At GenAI Research and Solution (part of deep learning research team within modeling sophistication, DSE), we research and build generative AI (GenAI) capabilities that go directly into Liberty Mutual products. We fine-tune small language models (SLMs), design retrieval and agentic pipelines, explore creative ways to embed Liberty's data in products, and hold all these solutions to a high bar for accuracy, grounding, latency and cost. Our team emphasizes technical rigor, reproducibility and methodological innovation, and we work close to the business so that research turns into products our customers use.As an individual contributor on the team, you will provide technical leadership, design, build and deploy GenAI solutions end to end - from research prototype to production service. You will fine-tune and evaluate small language models, build pipelines such as retrieval-augmented generation (RAG), and variants such as corrective RAG and agentic orchestration, and partner with engineers to run them reliably on our Kubernetes and other deployment platforms. This is a deeply hands-on role with room to shape methodology and influence how GenAI shows up across our products.Candidates who live within 50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX will follow a hybrid schedule, coming into the office two days per week. Otherwise, this role is remote with occasional travel.Responsibilities:Design, fine-tune and deploy language model based solutions, from research and experimentation through production implementation.Fine-tune and distill small language models for domain-specific insurance tasks, balancing accuracy, latency and cost.Build and improve GenAI pipelines, including RAG, corrective RAG and agentic orchestration with tool use, planning loops and memory.Develop and maintain scalable data, document and embedding pipelines, applying MLOps and LLMOps best practices for reproducibility, deployment and monitoring.Design evalua