Sr. Staff Engineer; Martech​/AI​/LLM

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 seeking an experienced Engineer with a passion for building high-performance, low maintenance, zero-downtime platforms, and applications. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission, while co-creating the culture of psychological safety and continuous improvement.

Our Senior Staff Engineer works with our Staff and Sr. Engineers to innovate and build new systems, improve and enhance existing systems and identify new opportunities to apply your knowledge to solve critical problems. You will lead the strategy and execution of a technical roadmap that will increase the velocity of delivering products and unlock new engineering capabilities. The ideal candidate has deep technical expertise in their domain.

• Focus on multiple areas and provide technical and thought leadership to the enterprise
• Collaborate with product managers, team members, customers, and other engineering teams to solve our toughest problems
• Develop and execute technical software development strategy for a variety of domains
• Accountable for the quality, usability, and performance of the solutions
• Utilize programming languages like Python, C# or other object-oriented languages, SQL, and No
  
  SQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of Azure tools and services
• Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community. Influence and educate executives
• Consistently share best practices and improve processes within and across teams
• Analyze cost and forecast, incorporating them into business plans
• Determine and support resource requirements, evaluate operational processes, measure outcomes to ensure desired results, and demonstrate adaptability and sponsoring continuous learning

• Exemplary ability to design, perform experiments—including AI/LLM evaluation, measurement, and iterative improvement in production—and influence engineering direction and product roadmap
• Extensive experience shipping LLM, generative AI, or intelligent automation solutions in production environments
• Strong grasp of when to use agents, retrieval-augmented generation, classical ML, rules-based workflows, or hybrid approaches for a given business problem
• Experience integrating AI into enterprise services via APIs, events, authentication, and observability patterns
• Understanding of agent architectures, workflow orchestration, vector retrieval, and knowledge/context design
• Extensive experience in leading and building full-stack application and service development, with a strong focus on SaaS products / platforms
• Proven expertise in designing and developing microservices using GraphQL, gRPC, Java, Python, Kafka, with a deep understanding of both API and event-driven architectures, including integration of AI inference, retrieval, and async/agent…