Senior Engineer Java​/Software Development​/AI; 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.

Our Senior Engineer works with our engineering team 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, including shaping how applied AI and intelligent automation are incorporated into enterprise solutions where they materially improve business outcomes.

The ideal candidate is a self-starter with deep technical expertise in their domain and a strong sense of which AI technologies are appropriate for various use cases, while ensuring solutions meet enterprise standards for reliability, security, and operability.

• Provide technical leadership to multiple areas and provide technical and thought leadership to the enterprise, including applied AI architecture, technology selection, and integration patterns across teams
• Collaborate across team members and across the tech organization to solve our toughest problems, working with product, domain experts, and analytics partners to translate business needs into technical designs that may include AI components
• Deliver high-quality services and software for a variety of domains, including AI-augmented workflows and intelligent services where appropriate, with accountability for the quality, usability, and performance of the solutions
• Identify and evaluate opportunities to apply AI, intelligent automation, and agentic workflows to enterprise processes, distinguishing high-value use cases from hype-driven experiments
• Utilize programming languages like Java, C#, or other object-oriented languages, SQL, and No
  
  SQL databases, container orchestration services including Docker and Kubernetes, cloud tools and services across Azure/AWS/GCP, and integrate AI services, model APIs, and orchestration tooling into the platform stack
• Work on end-to-end solutions that may span front-end implementations (Flutter, Angular, React) through API tiers and back-end domain services
• Be a role model and mentor, helping to coach and strengthen the technical expertise and know-how of our engineering and product community, including applied AI patterns, production evaluation, and responsible deployment practices.
• Influence and educate executives Design durable, observable AI workflows using orchestration and agent patterns (e.g., Temporal for long-running workflows; Fable and comparable agent frameworks), combining tools, APIs, business rules, and human-in-the-loop steps
• Select and rationalize AI technologies for each use case—models, retrieval, vector stores, knowledge graphs, workflow engines—with clear tradeoffs on cost, latency, accuracy, security, and operability
• Establish engineering patterns for evaluating, monitoring, and governing components in production, including testing, quality metrics, safety, fallback behavior, and incident response

• 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…