About the Role:

Chubb is looking for an AI Engineer to design, build, and deploy generative AI solutions that improve how we operate across the insurance lifecycle — from underwriting and claims to customer service and risk assessment. This role sits at the intersection of software engineering and applied AI, turning the latest LLM capabilities into reliable, production-grade systems built on our Azure and Databricks platform.

Key Responsibilities:

• Design and build end-to-end generative AI applications using LangGraph, including agentic workflows, RAG pipelines, and LLM-integrated services.

• Develop robust, well-tested backend APIs with FastAPI, containerized via Docker and deployed on Kubernetes.

• Build and maintain search and retrieval solutions using Azure AI Search and MongoDB.

• Work within our Azure cloud environment, integrating with Azure OpenAI, Azure services, and our broader data platform.

• Collaborate with product managers, data scientists, and engineers to scope and deliver AI features that address real insurance business problems.

• Own the full software lifecycle, including design, code review, testing, deployment, and monitoring in production.

• Translate complex business requirements into well-scoped technical solutions with a strong focus on reliability, maintainability, and failure modes.

Desired Qualifications:

• 3+ years of software engineering experience, with strong fundamentals in system design, data structures, and clean code practices.

• Proficiency in Python, including building and shipping production backend services.

• Hands-on experience building applications with LLMs such as Azure OpenAI, OpenAI, Anthropic, or similar.

• Experience with FastAPI or comparable Python web frameworks.

• Familiarity with containerization and orchestration tools such as Docker and Kubernetes.

• Experience with cloud platforms, preferably Azure.

• Experience with LangGraph, LangChain, or other agentic/orchestration frameworks is preferred.

• Familiarity with Azure AI Search or other vector/hybrid search solutions is preferred.

• Experience with Databricks and PySpark for large-scale data processing is preferred.

• Background in traditional ML or data engineering, including feature pipelines, model training, and ETL, is preferred.

• MongoDB or other NoSQL database experience is preferred.

• Prior exposure to insurance domain concepts such as underwriting, claims, and policy administration is preferred.

We offer in return!

Competitive salary & pension scheme, discretionary bonus scheme, 25 days annual leave plus ability to purchase 5 additional days, hybrid working options, Private Medical cover, Employee Share Purchase Plan, Life Assurance, Subsidised gym membership, Comprehensive Learning & development offerings, Employee Assistance program.

Integrity. client focus. respect. excellence. teamwork

Our core values dictate how we live and work. We’re an ethical and honest company that’s wholly committed to its clients. A business that’s engaged in mutual trust and respect for its employees and partners. A place where colleagues perform at the highest levels. And a working environment that’s collaborative and supportive.

Diversity & Inclusion. At Chubb, we consider our people our chief competitive advantage and as such we treat colleagues, candidates, clients, and business partners with equality, fairness and respect, regardless of their age, disability, race, religion or belief, gender, sexual orientation, marital status or family circumstances.

We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have a disability or long-term condition (for example dyslexia, anxiety, autism, a mobility condition or hearing loss) and need us to make any reasonable adjustments, changes or do anything differently during the recruitment process, please let us know.