Claims Solution Designer_2059
Pubblicato il 17-10-2026 - Allianz in Milano
Overview As Solution Designer in Allianz Technology’s IT Claims team, you shape GenAI-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 premio scheme pension employee shares program flexible working health and wellbeing offers
Responsabilità
Ideate, design, and architect GenAI 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 DevOps 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 GenAI 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