Staff Engineer - Applied AI

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 a Staff Engineer, Applied AI to help shape how Generative AI enhances customer and associate experiences across the enterprise. This is a senior, hands‑on individual contributor role for someone with deep technical expertise, strong collaboration skills, and a proven ability to deliver scalable, resilient, production‑ready AI systems. You will partner with engineering teams, data scientists, and product leaders to design, build, and scale AI‑powered capabilities that automate workflows, improve decision‑making, and elevate user experience.

You will also mentor engineers who want to learn AI, LLMs, and agent‑based development, fostering a culture of learning, curiosity, and innovation.

• Identify and evaluate opportunities for automating business processes using AI, intelligent workflows, and agent‑based systems.
• Architect, build, and deploy applied AI solutions across high‑value enterprise workflows including automation, document intelligence, decision support, and intelligent assistants.
• Design and implement AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic to automate complex processes at scale.
• Build systems and services that meet high standards for scalability, resilience, performance, and availability.
• Use knowledge graphs to enhance reasoning, entity relationships, context retrieval, and multi‑step workflows.
• Collaborate with product, engineering, operations, and analytics partners to co‑create scalable AI solutions and translate business needs into technical designs.
• Mentor engineers and scientists who want to develop AI and agentic workflow skills through coaching, pairing, reviews, and architectural guidance.
• Drive innovation by exploring new models, frameworks, and reasoning techniques and applying them creatively to real‑world challenges.
• Lead through technical influence by providing guidance on architecture, experimentation, and deployment across multiple teams.
• Run rigorous experimentation and evaluation including hypothesis definition, measurement, validation, and iterative improvement in production environments.
• Establish and model engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems.

• 8 or more years of professional software engineering or applied machine learning experience, including 2 or more years working with Generative AI or LLM-based systems in production.
• Experience adding intelligence to internal processes and workflows to improve efficiency, automation, and decision‑making
• Track record of improving system reliability and scalability through architectural improvements, performance optimization, and infrastructure enhancements
• Proven experience building scalable, resilient, secure, and maintainable products and systems that run reliably in production
• Strong understanding of agent architectures, workflow orchestration, retrieval‑augmented generation, vector databases, and knowledge graph integration
• Ability…