Senior Engineer - Applied AI (Java)

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.

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.

GEICO is seeking a Senior Engineer, Applied AI to help shape how Generative AI enhances customer and associate experiences across the enterprise. This is a hands-on technical role for someone with strong Java development expertise, a passion for AI technologies, and a proven ability to deliver scalable, production-ready AI systems.
You will work alongside engineering teams, data scientists, and product leaders to design, build, and integrate AI-powered capabilities that automate workflows, improve decision-making, and elevate user experience. You will contribute to a culture of learning, curiosity, and innovation while growing your expertise in cutting-edge AI technologies.

What You Will Do

• Design, develop, and maintain scalable, high-performance microservices using Java (version 21+) and Spring Boot (3.4.x) to power AI-enabled applications.
• Contribute to the architecture and implementation of applied AI solutions across enterprise workflows including automation, document intelligence, decision support, and intelligent assistants.
• Build and integrate AI agents and agentic workflows that orchestrate tools, APIs, reasoning steps, and business logic using Java-based AI frameworks.
• Implement Retrieval-Augmented Generation (RAG) patterns, Model Context Protocol (MCP) integrations, and agent skills to enhance AI application capabilities.
• Develop systems that meet high standards for scalability, resilience, performance, and availability in production environments.
• Leverage knowledge graphs and vector databases to enhance reasoning, entity relationships, and context retrieval in AI workflows.
• Collaborate with product, engineering, operations, and analytics partners to translate business needs into technical designs and deliver scalable AI solutions.
• Participate in code reviews, provide constructive feedback, and help junior engineers develop AI and agentic workflow skills.
• Drive continuous improvement by exploring new models, frameworks, and reasoning techniques and applying them to real-world challenges.
• Utilize AI-assisted development tools (e.g., Claude, Cursor, Codex) to accelerate development and improve engineering productivity.
• Contribute to engineering best practices for reliability, interpretability, safety, governance, and monitoring of production AI systems.

What We Are Looking For (Must Have)

• Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
• 5+ years of professional software engineering experience building maintainable, scalable, and high-performance systems in Java.
• Strong proficiency in modern Java (preferably Java 21) with familiarity of recent features and best practices.
• Solid knowledge of Spring Boot (preferably 3.4.x+), Spring Cloud, and related frameworks.
• hands-on experience working with Generative AI, LLM-based systems, or AI-powered applications.
• Experience in designing and deploying distributed systems and microservice-based architectures.
• Understanding of AI concepts including agent architectures, RAG (Retrieval-Augmented Generation), MCP (Model Context Protocol), and workflow orchestration.
• Experience using AI-assisted development tools (e.g., Claude, Cursor, Codex, or similar) to improve software engineering productivity.
• Strong understanding of RESTful API design, secure API development, and service-to-service communication patterns.
• Familiarity with cloud technologies (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
• Solid understanding of CI/CD, automated testing, and observability practices.
• Good communication s