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 skills and a collaborative, team-oriented mindset. - Ability to collaborate across teams and co-create solutions with engineers, product managers, and domain experts. Nice to Have - Experience deploying AI components in Java ecosystems including Spring AI, LangChain4j, or Embabel. - Hands-on experience with Temporal or similar workflow orchestration frameworks. - Experience with vector databases (Pinecone, Weaviate, Milvus, pgvector) and knowledge graph technologies. - Familiarity with Python-based AI frameworks (LangChain, LlamaIndex, Hugging Face) for prototyping or integration. - Experience with insurance, financial services, or other regulated industries. - Background in document intelligence, fraud detection, or anomaly modeling. - Experience mentoring junior engineers or leading small project initiatives. - Contributions to open-source projects in AI, Java, microservices, or cloud tools. - Familiarity with AI safety practices, evaluation frameworks, monitoring, and regulatory compliance. Who You Are - A collaborative engineer who works well with cross-functional partners and supports the growth of those around you. - A hands-on builder who ships reliable, scalable, production-grade systems rather than stopping at proof of concept. - Someone who understands how to design systems that scale smoothly, recover gracefully, and operate reliably under load. - An innovative thinker who explores new approaches, tools, and architectures and applies them thoughtfully. - A continuous learner eager to deepen expertise in AI, LLMs, and agentic workflow patterns. - A systems thinker who can connect LLMs, vector search, agents, and knowledge graphs into cohesive solutions. - Driven by real-world impact, customer value, and engineering excellence. Why Join GEICO - Build the next generation of AI-powered enterprise workflows and intelligent automation. - Work on high-impact problems at large operational scale. - Collaborate with a talented engineering organization focused on advancing AI capabilities. - Grow your career alongside experienced Staff Engineers and architects who will mentor your development. - Set the standard for responsible and production-grade AI deployment across the enterprise. - Be part of an inclusive, learning-rich environment where curiosity and innovation thrive. Annual Salary $105,000.00 - $215,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate’s work experience, education and training, the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position.