At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers’ expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That’s why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Sr. Software Engineer – Applied AI Position Summary GEICO is seeking an experienced Sr. Software Engineer to join our Unified Communications Service Engineering (UCSE) group and lead the development of cutting-edge AI product development. This role is ideal for candidates with deep expertise in building products powered by AI models, with a particular focus on working with large language models (LLMs). You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization by designing, developing, and deploying core consumer experiences that leverage AI, ensuring they are robust, scalable and production ready. Position Description The Unified Communication Service Engineering team is transitioning disparate customer communication touchpoints into a world class services company by building the foundational voice, chat, text, email and core contact center experiences for sales, service and claims operations used by 20,000 GEICO contact center agents, field adjusters and sales representatives sell, endorse, and service more than 80 million customers and prospective customers. Our Sr. Software Engineer is a lead member of the engineering team working across the organization to build delightful and friction-less product experience for our customers and drive transformative change in the industry by harnessing the power of Generative AI. Our team thrives and succeeds in delivering high-quality products and services in a hyper-growth environment where priorities shift quickly. The ideal candidate has broad and deep technical knowledge, typically ranging from front-end UIs through back-end systems and all points in between.