Senior AI Engineer

About the Role:

Chubb is looking for a Senior AI Engineer to lead the design, development, and deployment of advanced 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, applied AI, and technical leadership, turning the latest LLM capabilities into reliable, production-grade systems built on our Azure and Databricks platform.
As a senior member of the team, you will not only build high-quality AI solutions, but also help shape technical direction, guide architecture decisions, mentor other engineers, and influence how AI capabilities are delivered across the organization.

Key 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.

Desired Qualifications:

• 6+ years of software engineering experience, with strong fundamentals in system design, data structures, and clean code practices.
• Proven experience designing and shipping production-grade AI or ML-enabled software systems.
• Strong 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.
• Production experience with Docker and Kubernetes, including deployment and management on AKS.
• Strong hands-on experience with Azure, including Azure OpenAI, Azure AI Search, AKS, and Databricks.
• Proven production experience with LangGraph and LangChain, including multi-step agentic workflows and tool-calling agents.
• Hands-on experience with Azure AI Search or other vector/hybrid search solutions, including vector search, hybrid search, and retrieval evaluation.
• Experience with Databricks and PySpark for large-scale data processing.
• Experience designing evaluation frameworks for LLM systems, including offline metrics, hallucination detection, and production monitoring.
• Experience implementing responsible AI practices in a regulated environment, including audit trails, confidence scoring, and human-in-the-loop controls.
• Background in traditional ML or data engineering, including feature pipelines, model training, and ETL, is preferred.

Preferred Attributes:

• Strong problem-solving skills and the ability to work through ambiguity.
• Ability to balance speed of delivery with engineering quality and long-term maintainability.
• Strong communication skills and the ability to explain technical concepts to both technical and non-technical stakeholders.
• A proactive mindset with ownership of outcomes and continuous improvement.
• Interest in emerging AI technologies and practical application of LLMs in enterprise environments.

What Success Looks Like:

• You lead the delivery of high-impact AI solutions that are reliable, scalable, and production-ready.
• You help the team make better technical decisions through strong architecture and engineering judgment.
• You raise the quality bar through mentoring, code reviews, and engineering best practices.
• You contribute to a stronger AI engineering capability across the organization.
• Join Chubb as a Senior AI Engineer and play a key role in shaping the future of intelligent, scalable, and enterprise-ready AI solutions that create real impact across the insurance lifecycle.

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.