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. 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. Position Description    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.    Position Responsibilities    As a Senior Engineer, you will:    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 NoSQL 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    Qualifications    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 workflows    Proven experience designing and delivering   highly-resilient   event-driven and messaging-based solutions at scale with minimal latency, including long-running, failure-tolerant workflows for multi-step AI processes    Fluency and specialization with at least two modern OOP languages such as Java, C#, C++, or Python including object-oriented design    Great understanding of open-source databases like MySQL, PostgreSQL, etc., and   a strong foundation   with NoSQL databases like Cosmos, Cassandra, Apache Trino, etc.    Knowledge of developer tooling across the software development life cycle (task management, source code, building, deployment, operations, real-time communication)    Fluency in test engineering and automated testing concepts, including evaluation and regression testing for non-deterministic AI components    Experience    6+ years full-stack development experience (Java/C#/Python/Go), with   expertise   in client-side and server-side fr