Applied AI Scientist

Role: Applied AI Scientist. Experience: 7+ years Location: Remote Required Skills: ML, RAG, LLMs, Gen AI, Agentic AI, Applied Generative AI Key Responsibilitie sAI Solution Development : Combine classical ML and cutting-edge Gen AI/agentic methods to solve key business challenges and drive operational efficiency .Proof-of-Concept & Experimentation : Plan and execute structured PoCs for Generative and Agentic AI systems—covering large-scale prompt optimization, fine-tuning, and model selection .Evaluation & Benchmarking : Design robust evaluation frameworks, define quantitative quality metrics, and construct benchmarks to test real-world AI performance .Quality & Safety Assurance : Establish groundedness, safety, and hallucination metrics to ensure trustworthy AI behavior .Model Analysis : Analyze foundation model behavior in dev/prod environments to identify failure modes, bias, and performance limits .Cross-Functional Collaboration : Translate complex AI concepts into clear, accessible insights for operational stakeholders and non-technical business partners .Agile Culture : Contribute to the AI Enablement operating model, adopting agile methodologies and building reusable AI best practices . What We're Looking Fo r:Education & Experien ceRequire d: Bachelor's degree in a ST EM field with experience applying data science in a commercial settin g.Preferre d: Master's degree or higher in a STEM fiel d.Technical Skil lsStrong foundation in statistical modeling and classical Machine Learnin g.Hands-on experience with GenAI methods: prompt engineering, RAG, fine-tuning strategies, and LLM output assessmen t.Experience building and operationalizin g Agentic AI solution s.Proven track record designing evaluation frameworks, benchmark construction, A/B testing, and quality metric s.Excellent data visualization and technical communication skill s.(Bonu s) Familiarity with th e Insurance doma in or experience in a regulated industr y.