Chubb is a publicly listed global underwriter spanning P&C, accident and health, reinsurance and life lines. Its stack shows a serious in-house AI push: vLLM, Triton, CUDA, LoRA/QLoRA fine-tuning and RAG sit alongside Azure and GCP, while Databricks, Snowflake, Azure Synapse and Dynatrace are being adopted. Hiring leans senior and spreads across support, ops, sales, underwriting and risk, with Head of Data and Chief Architect roles open.
Notable leadership hires: Marketplace Delivery Lead, Head of Data, Claim Director, Chief Architect, Head of FP&A
Chubb is an underwriting company offering commercial and personal property and casualty insurance, personal accident and supplemental health coverage, reinsurance and life insurance. It operates in 54 countries and territories and employs roughly 40,000 people, within the 10,001+ size band. Parent Chubb Limited trades on the NYSE under the ticker CB and is part of the S&P 500. Executive offices sit in Zurich, New York, London, Paris and other cities, and the company is recorded in Switzerland. Hiring is active across Asia-Pacific, Europe, the Americas and South Africa.
Chubb uses Python, Go, Angular, Docker and Kubernetes on Azure and GCP, plus Power BI, Dataiku, Qlik Sense, SAP, Oracle HCM Cloud and ServiceNow. It is adopting Databricks, Snowflake, Azure Synapse and Dynatrace.
Yes. Its stack includes vLLM, Triton, CUDA, RAG and LoRA, QLoRA and PEFT fine-tuning methods, and AI product development is a leading project theme in its job posts.
Chubb hires across the United States, United Kingdom, China, Singapore, Japan, India, Poland, France, Canada, Australia, Mexico, South Africa, Germany, Spain and more than ten other countries.
Other companies in the same industry, closest in size
Chubb's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.