Lead AI Engineer

Join our international team as a Lead AI Engineer and play a key role in advancing the insurance sector with agent-based AI technology. You will develop smart automation products that handle sophisticated insurance activities, giving brokers greater capacity to focus on advisory work and stronger client engagement

Responsibilities

• Examine broking activities to determine where intelligent automation can deliver the greatest operational benefit
• Create, engineer, and launch resilient AI platforms designed to handle intricate insurance business processes
• Deliver AI-driven solutions that combine LLMs, RAG techniques, document understanding, data extraction, categorization, and multi-agent designs
• Engage with brokerage, underwriting, and operations specialists to convert operational pain points into practical, scalable AI products
• Manage the complete development path for AI offerings, starting with discovery and prototypes and continuing through release, measurement, and enhancement
• Create rigorous methods for assessing AI quality, incorporating validation, system metrics, production visibility, and detection of inaccurate model outputs
• Encourage an innovation-focused culture through rapid trials of new AI technologies, engineering approaches, and tooling
• Introduce automation capabilities that improve throughput, accelerate service delivery, and strengthen organizational effectiveness
• Coach engineering colleagues while establishing sound practices for creating stable and trustworthy AI applications
• Evaluate developing AI advancements and use suitable technologies to address insurance-specific business needs

Requirements

• 5 or more years of industry experience in software development, AI, machine learning, or another relevant technology area
• A minimum of one year spent supervising or coordinating software engineering teams
• Advanced Python and TypeScript skills for building, extending, and supporting AI-based software products
• Demonstrated ability to bring AI initiatives from early exploration and proof of value through to live production use
• Hands-on understanding of machine learning approaches, predictive models, and Large Language Model technologies
• Knowledge of contemporary delivery processes, including CI/CD automation and deploying workloads through containers
• Strong critical-thinking and diagnostic abilities to tackle demanding business and engineering issues
• Confidence in communicating complex technical subjects in an accessible manner to business partners
• Professional written and spoken English skills at B2 level or higher

Nice to have

• Background in reinsurance or underwriting operations, with an understanding of the associated business procedures
• Awareness of insurance domain practices, platforms, operational models, and compliance requirements
• Experience defining secure, repeatable infrastructure environments through Infrastructure as Code methods
• Knowledge of observability and monitoring tools used to assess system health, responsiveness, reliability, and production behavior
• Experience providing technical direction, influencing architectural choices, and helping delivery teams achieve strong engineering outcomes