AI ARCHITECT - INSURANCE PRICING

The Global P&C team is an Allianz SE department established in 2011, building on the Center of Competence initiative launched in 2005. Its mission is to support all Allianz P&C Entities in achieving technical excellence by leveraging Allianz capabilities across data management, tariff development, portfolio analysis, and monitoring. The Global P&C Pricing team defines standards, best practices, and guidelines — and supports their implementation — across the full pricing lifecycle. The team is currently embedding Artificial Intelligence and Generative AI into insurance pricing processes through agentic architectures, working at the intersection of actuarial science, data engineering, and cutting-edge AI.

KEY RESPONSIBILITIES

• Design and develop end-to-end AI architectures for insurance pricing, spanning retrieval and knowledge systems, agentic workflows, and production deployment.
• Lead the integration of AI and ML models (GLMs, LightGBM), rating engines, and portfolio data into agentic architectures, enabling pricing analysts to interact with the pricing stack in natural language.
• Build and maintain LLM-powered tools that accelerate tariff analysis, pricing code generation, what-if simulations, and regulatory documentation.
• Rapidly prototype AI solutions and present them in workshops and advisory sessions with senior stakeholders, translating complex technical concepts into actionable insights.
• Collaborate closely with actuaries, data scientists, and AI Transformation Architects to ensure AI solutions are scalable, robust, and aligned with business objectives.
• Contribute to the definition of AI architecture standards and best practices within the Global P&C Pricing team.

EDUCATION / EXPERIENCE / SKILLS

• Bachelor's or Master's degree in a quantitative field (e.g., Mathematics, Physics, Computer Engineering, Data Engineering, or a related discipline).
• At least 1–4 years of practical experience in designing and deploying end-to-end GenAI solutions, gained in an academic and/or professional context.
• Hands-on experience with end-to-end AI architectures, LLM-powered tools, and AI/ML model integration (GLMs, LightGBM, or similar).
• Proficiency in Python; familiarity with SQL, ETL processes, and data modelling is a plus.
• Hands-on knowledge of Cloud Services (e.g., AWS, GCP, Azure).
• Hands-on experience with LLM APIs and model providers (e.g., OpenAI, Azure OpenAI, Anthropic, HuggingFace).
• Familiarity with agentic and RAG frameworks (e.g., LangChain, LlamaIndex, AutoGen) and vector databases (e.g., pgvector, Weaviate, Pinecone).
• Familiarity with MLOps and model serving concepts (e.g., MLflow, CI/CD pipelines) is a plus.
• Familiarity with Git, containerisation (Docker), and orchestration concepts (Kubernetes).
• AI Solutions Architect — ability to design, implement, and govern scalable AI solution architectures across the full development lifecycle.
• Fluent in Italian and English (written and spoken).
• International experience (academic or work-related) is a plus.
• Strong team player with excellent written and spoken communication skills; ability to engage effectively with both technical and non-technical stakeholders.
• Genuine passion for Artificial Intelligence and authentic curiosity about insurance, risk modelling, and pricing.

Pursuant to Article 5(1) of Legislative Decree No. 96 of 7 May 2026, as amended and supplemented from time to time, the range applicable to the position offered is between € 38.000 gross and € 50.000 gross. Employment will be subject to the terms and conditions set forth in the National Collective Labor Agreement for Insurance Companies and the applicable Company Agreement. The final determination of the starting remuneration will be based on an evaluation of the candidate's qualifications, skills, and relevant experience in relation to the requirements of the role.