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About the Role
Chubb is seeking a Senior AI Engineer to lead the design, development, and deployment of advanced generative AI solutions. This role focuses on leveraging LLM capabilities to build production-grade systems on Azure and Databricks, aiming to improve operations across the insurance lifecycle. The position involves technical leadership, shaping direction, guiding architecture, mentoring engineers, and influencing AI delivery across the organization.
Responsibilities
- Lead the design and build of end-to-end generative AI applications using LangGraph, including agentic workflows, RAG pipelines, and LLM-integrated services.
- Define and drive architecture for scalable, secure, reliable, and maintainable AI solutions deployed in production.
- Develop robust, well-tested backend APIs with FastAPI, containerized via Docker and deployed on Kubernetes.
- Architect and own search and retrieval solutions using Azure AI Search and MongoDB, including design of indexing strategies, hybrid search configurations, and retrieval evaluation.
- Work within our Azure cloud environment, integrating with Azure OpenAI, Azure services, and our broader data platform.
- Collaborate with product managers, data scientists, engineers, and other stakeholders to scope and deliver AI features that address real insurance business problems.
- Own the full software lifecycle, including design, code review, testing, deployment, monitoring, and production support.
- Translate complex business requirements into well-scoped technical solutions with a strong focus on reliability, maintainability, failure modes, and operational excellence.
- Mentor and support junior engineers through design reviews, code reviews, and technical guidance.
- Contribute to technical standards, best practices, and reusable patterns for AI engineering across the team.
- Evaluate and improve model quality, retrieval strategies, prompt and agent design, and production performance over time.
- Partner with business and technical leaders to shape AI roadmaps and identify high-impact opportunities for automation and decision support.
Requirements
- Experience leading the design and build of end-to-end generative AI applications using LangGraph.
- Experience defining and driving architecture for scalable, secure, reliable, and maintainable AI solutions.
- Experience developing robust, well-tested backend APIs with FastAPI, containerized via Docker and deployed on Kubernetes.
- Experience architecting and owning search and retrieval solutions using Azure AI Search and MongoDB.
- Experience working within an Azure cloud environment, integrating with Azure OpenAI and Azure services.
- Experience owning the full software lifecycle, including design, code review, testing, deployment, monitoring, and production support.
- Experience translating complex business requirements into well-scoped technical solutions.
- Experience mentoring and supporting junior engineers.
- Experience contributing to technical standards, best practices, and reusable patterns for AI engineering.
- Experience evaluating and improving model quality, retrieval strategies, prompt and agent design, and production performance.
Skills
- Generative AI
- LangGraph
- LLM
- FastAPI
- Docker
- Kubernetes
- Azure AI Search
- MongoDB
- Azure OpenAI
- Azure
- Agentic workflows
- RAG pipelines
- Backend APIs
- Search and retrieval solutions
- Indexing strategies
- Hybrid search
- Retrieval evaluation
- Software lifecycle management
- Technical leadership
- Architecture design
- Mentoring
Experience Level
- Senior
About the Company
- Chubb is a global leader in the insurance industry.