Claims Solution Designer_2059

Overview

As Solution Designer in Allianz Technology’s IT Claims team, you shape Gen

AI-driven solutions to transform claims handling and IT automation. You will drive architectural decisions for agentic AI across user-facing and IT automation workflows, aligning with a cloud-first path and mainframe-to-Java migration. Collaborating with cross-functional teams, you’ll translate business needs into scalable, compliant designs and guide platform evolution toward intelligent, integrated capabilities.

Retribuzione / Benefits

hybrid work model

company bonus scheme

pension

employee shares program

flexible working

health and wellbeing offers

Responsabilità

Ideate, design, and architect Gen

AI solutions for claims and IT automation

Define agent architectures, orchestration patterns, and LLM integrations with guardrails for compliance

Extend and evolve existing solutions for scalability, security, and cloud/on-premise integration

Analyze live solutions to ensure alignment with business objectives and performance targets

Design and develop architectural solutions using Java to support cloud-transition

Apply Dev

Ops practices to enable CI/CD and streamlined development

Coordinate technical teams across multiple workstreams

Act as system integrator managing transformation projects and ensuring stakeholder alignment

Requisiti fondamentali

Proven experience shaping Gen

AI and Agentic AI architectures (LLM orchestration, RAG, multi-agent frameworks)

Strong Java-based Architecture knowledge, microservices, and cloud integration

Experience with AWS, Azure, or Google Cloud and integrating diverse components

Degree in IT or Engineering with 4–6 years of relevant experience

Ability to assess AI use cases for business value and technical feasibility with security/compliance considerations

Proven coordination and leadership of technical teams and projects

Fluency in Italian and English (written and spoken)

Knowledge of integration with enterprise systems and on-premises/cloud environments

Basic knowledge of AI technologies and their practical use

Analytical thinking

Troubleshooting

Collaborative mindset

Generative AI architectures

Agentic AI

LLM orchestration