Senior AI Engineer

We are looking for a Senior AI Engineer to help modernize insurance technology through next-generation Agentic AI solutions. You will join a global team creating intelligent products that streamline complex insurance processes, allowing brokers to devote more time to strategic decisions and customer relationships Responsibilities Assess insurance broking processes to uncover valuable opportunities for AI-driven automation and improvement Architect, build, and release enterprise-ready AI products that simplify complex insurance-related workflows Develop intelligent applications using Large Language Models, Retrieval-Augmented Generation, document intelligence, information extraction, classification, and agentic solution patterns Partner with brokers, underwriters, and operational stakeholders to translate real business needs into scalable technical solutions Lead AI initiatives throughout the full delivery cycle, from early discovery and proof of concept through production rollout, monitoring, and iteration Establish comprehensive evaluation practices for AI systems, covering quality testing, performance tracking, observability, and hallucination identification Promote fast-paced experimentation by applying current AI engineering tools, methods, and delivery practices Use automation to increase productivity, shorten processing timelines, and improve operational outcomes across the business Support the growth of other engineers through mentoring and by championing dependable AI engineering standards Investigate emerging AI capabilities and apply relevant innovations to challenges within the insurance sector Requirements At least 3 years of professional experience in software engineering, artificial intelligence, machine learning, or a closely related technical discipline Strong programming capability in Python and TypeScript for developing and maintaining AI-enabled applications Proven experience taking AI products from initial concept and prototyping through successful production deployment Practical expertise working with machine learning techniques, models, and Large Language Models Familiarity with modern engineering workflows, including continuous integration and continuous delivery pipelines as well as containerized deployments Well-developed analytical and troubleshooting skills for resolving complex technical and business problems Effective communication skills with the ability to clearly present technical topics to non-technical business audiences English proficiency at B2 level or above, both written and spoken Nice to have Experience with reinsurance or insurance underwriting operations and the workflows that support these functions Knowledge of the insurance industry, including its business processes, systems, and regulatory considerations Exposure to Infrastructure as Code practices, particularly for implementing secure and repeatable cloud environments Familiarity with monitoring and observability solutions for tracking the reliability, performance, and behavior of production systems Technical leadership experience, including guiding engineering decisions and supporting teams in delivering high-quality solutions