AI Architect - Insurance Pricing & GenAI Solutions

Allianz

Lombardia

On-site

EUR 40,000 - 50,000

Full time

16 hours ago
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Job summary

Allianz SE is seeking an AI Solutions Architect to design, implement, and govern scalable GenAI architectures across the full pricing lifecycle. You will work with actuaries, data scientists, and AI Transformation Architects to embed AI/ML capabilities into pricing workflows and ensure robust governance.

Ideal candidates have 3-5 years of GenAI deployment experience, strong Python skills, and fluency in Italian and English.

Qualifications

  • Bachelor's or Master's degree in a quantitative field (e.g., Mathematics, Physics, Computer Engineering, Data Engineering).
  • 3-5 years of hands-on experience designing and deploying end-to-end GenAI solutions.
  • Proficient in Python; SQL/ETL and data modelling knowledge is a plus.
  • Fluent in Italian and English (written and spoken).

Responsibilities

  • Design and develop end-to-end AI architectures for pricing, including retrieval and agentic workflows.
  • Integrate AI/ML models and rating engines into agentic architectures for natural language interaction.
  • Build and maintain LLM-powered tools for tariff analysis, pricing code generation, and simulations.
  • Prototype AI solutions and present findings in workshops with senior stakeholders.
  • Collaborate with actuaries, data scientists, and AI architects to ensure scalable solutions.
  • Contribute to AI architecture standards and best practices within Global P&C Pricing.

Skills

GenAI architectures
AI/ML model integration
Python programming
Cloud services
LLM APIs
RAG frameworks
Git
CI/CD pipelines
Stakeholder communication
English & Italian fluency

Education

Quantitative degree (Bachelor's/Master's)

Tools

Docker
Kubernetes
LangChain
LlamaIndex
AutoGen
Weaviate
Pinecone
MLflow

Job description

Allianz SE is seeking an AI Solutions Architect to design, implement, and govern scalable GenAI architectures across the full pricing lifecycle. You will work with actuaries, data scientists, and AI Transformation Architects to embed AI/ML capabilities into pricing workflows and ensure robust governance.

Ideal candidates have 3-5 years of GenAI deployment experience, strong Python skills, and fluency in Italian and English.

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