AI & Cloud Principal Engineer
Pubblicato il 16-08-2026 - Allianz in Italia
About the Role
As AI & Cloud Principal Engineer, you will help shape the future of data, AI, and cloud platforms at Allianz Technology. Working within the Data & Analytics Platforms (DAP) team, you will contribute to the evolution of the Allianz Data Platform (ADP)—a strategic platform enabling Data, Machine Learning, and Generative & Agentic AI use cases at scale across Allianz Operating Entities worldwide.
In this senior expert role, you will design and implement advanced platform capabilities, advise local teams on best usage, and influence architectural decisions that enable secure, scalable, and value‑driven AI adoption. You will operate at the intersection of technology strategy, platform engineering, and business impact in a complex, global environment.
What You Do
- Act as a technical thought leader for AI (ML, LLM, Agentic AI) and Data Platform capabilities across Allianz Technology.
- Design, build, and evolve enterprise‑grade AI and cloud architectures supporting large‑scale data, ML, and AI workloads.
- Shape and enhance the Allianz Data Platform (ADP), including data,
ML, and GenAI platform services.
- Advise local implementation teams on best‑practice usage of platform capabilities for efficient and scalable use cases.
- Evaluate and onboard cloud providers and third‑party services for compute, storage, and AI/LLM capabilities.
- Define and maintain standards, operating procedures, and architectural guidelines for cloud and AI platforms.
- Stay ahead of AI and cloud technology trends and translate them into practical, value‑driven platform improvements.
- Ensure solutions meet security, data privacy, governance, and compliance standards in a regulated environment.
What You Bring
- Deep expertise in AI technologies (ML, LLMs, Agentic AI), including architecture, algorithms, and enterprise use cases.
- Strong experience with cloud platforms (Microsoft Azure, AWS, OCI) and modern data platforms (e.g. Databricks).
- Proven ability to design scalable, r