Senior Software Engineer - AI & Underwriting Platforms - Hybrid

Why Join GEICO

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 on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide.

Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. 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.

GEICO is re‑engineering underwriting  a Senior Staff Engineer, you will play a pivotal role in building the next generation of underwriting platforms that power decisions across all GEICO business lines. This is a high‑impact leadership role where you will design, build, and scale mission‑critical, AI‑enabled systems while helping transform GEICO from a traditional IT organization into a modern technology company.

You will work at the intersection of cloud‑native architecture, distributed systems, and applied AI, partnering closely with underwriting operations, product leaders, and senior engineers to eliminate manual processes and unlock smarter, faster decision‑making.

• Lead the design and delivery of large‑scale, production‑ready underwriting platforms, including AI and LLM‑powered capabilities
• Architect highly available, secure, and scalable services that support enterprise‑level workloads
• Drive end‑to‑end ownership of systems—from concept and architecture through production and long‑term evolution
• Provide technical leadership across multiple teams, influencing architecture, design patterns, and engineering standards
• Mentor and grow senior and mid‑level engineers, setting a high bar for engineering excellence
• Partner closely with Product, Operations, and Engineering Leadership to deliver measurable business outcomes
• Modernize legacy systems through cloud migration, automation, and digital transformation initiatives
• Champion best practices in observability, performance, reliability, and security
• Communicate complex technical concepts clearly to both technical and non‑technical stakeholders

• Deep experience with at least one modern programming language (Java, Go, or C++)
• Strong background in distributed systems and service‑oriented architectures (REST, gRPC)
• Hands‑on experience designing and building cloud‑native systems on AWS, Azure, or GCP
• Fluency in Dev Ops and CI/CD, including infrastructure as code and operational best practices
• Advanced understanding of data structures, algorithms, and system design
• Proven experience with application monitoring, performance tuning, and observability tools

• Practical experience integrating AI/ML solutions, including LLMs, prompts, and RAG‑based approaches
• Experience building AI‑enabled applications via APIs or embedded solutions
• Curiosity and comfort working in an evolving AI‑driven engineering landscape

• Ability to lead through influence rather than authority
• Strong communication skills with a track record of collaborating across disciplines
• Comfort operating in a fast‑paced, startup‑like environment while delivering enterprise‑grade solutions

• 10+ years of professional software engineering experience, including senior‑level technical leadership
• 8+ years leading architecture and large‑scale system initiatives
• 4+ years building and operating systems in public cloud environments
• 3+ years working on AI/ML‑driven products or platforms
• Experience contributing to or leveraging open‑source frameworks

• Build systems used at massive scale with real business impact
• Influence the technical direction of underwriting across the enterprise
• Work on modern, AI‑driven platforms, not green‑field demos
• Collaborate with experienced engineers and leaders who value innovation and ownership
• Be part of a long‑term transformation where your architectural decisions…