AI ARCHITECT - INSURANCE PRICING SPECIALIST

Experteer Overview

In this role you design and deploy end-to-end GenAI architectures for insurance pricing, embedding AI across the pricing stack. You work with actuaries, data scientists, and AI Transformation Architects to ensure scalable, business-aligned solutions. You tackle complex pricing analytics, build LLM-powered tools, and present insights to senior stakeholders. This position sits at the intersection of actuarial science, data engineering, and cutting‑edge AI, driving transformation in Allianz Global P&C pricing. Retribuzione / Benefits

Design and develop end-to-end AI architectures for insurance pricing, including retrieval, knowledge systems, agentic workflows, and production deployment Lead integration of AI/ML models (GLMs, LightGBM), rating engines, and portfolio data into agentic architectures for natural language interaction by pricing analysts Build and maintain LLM-powered tools to accelerate tariff analysis, pricing code generation, what‑if simulations, and regulatory documentation Prototype AI solutions rapidly and present them to senior stakeholders, translating technical concepts into actionable insights Collaborate with actuaries, data scientists, and AI Transformation Architects to ensure scalable and robust AI solutions aligned with business goals Contribute to definition of AI architecture standards and best practices within Global P&C Pricing Responsabilità

Bachelor in a quantitative field (e.g., Mathematics, Physics, Computer Engineering, Data Engineering) 3–5 years of hands‑on experience designing and deploying GenAI solutions Hands‑on experience with end‑to‑end AI architectures, LLM‑powered tools, and AI/ML model integration (GLMs, LightGBM) Proficiency in Python; familiarity with SQL, ETL, and data modeling Hands‑on knowledge of Cloud Services (AWS, GCP, Azure) Experience with LLM APIs and providers (OpenAI, Azure OpenAI, Anthropic, HuggingFace) Experience with agentic and RAG frameworks (LangChain, LlamaIndex, AutoGen) and vector databases (pgvector, Weaviate, Pinecone) Familiarity with MLOps and model serving concepts (MLflow, CI/CD) Familiarity with Git, Docker, and Kubernetes Fluent in Italian and English; strong communication with technical and non-technical stakeholders International experience is a plus Passion for AI, insurance, risk modelling, and pricing

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