Jobs at GEICO

Architect and lead large-scale machine learning platforms for real-time fraud detection. Design end-to-end ML pipelines, oversee model deployment and monitoring, guide multiple engineering teams, evaluate advanced frameworks, and ensure reliability, interpretability, security, and regulatory compliance. The role requires hands-on technical leadership, cross-functional collaboration, production ML expertise, and extensive experience with distributed systems, cloud platforms, big-data technologies, and modern machine learning frameworks.

Lead the design, development, deployment, and lifecycle management of production machine learning models and scalable ML infrastructure. Build training, tuning, serving, monitoring, and retraining pipelines; write production-grade services and APIs; optimize model performance and reliability; and collaborate with product, engineering, data, and business teams. Mentor junior engineers, drive technical decisions, and apply MLOps, distributed systems, cloud, and software engineering best practices to high-scale machine learning solutions.

Analyzes regulatory and statistical reporting data, investigates discrepancies, validates results, and supports data quality and reporting modernization initiatives. The role gathers business requirements, documents solutions, coordinates system testing, communicates findings to technical and business stakeholders, assists with process automation, and monitors implemented solutions. It also requires researching complex issues, identifying root causes, documenting findings, providing system training, and potentially supporting production systems on a 24/7 on-call basis.

Defend lawsuits in New Jersey courts and handle first-party insurance defense matters. Responsibilities include researching law, preparing briefs and legal memoranda, advising Claims on liability and damages, managing pleadings, motions, discovery, depositions, examinations under oath, hearings, and trials. The role requires New Jersey Bar admission, a Juris Doctor, litigation experience, strong writing and organization skills, and travel to legal proceedings and meetings.

Supports senior executives in GEICO’s Legal Department by managing calendars, email, contacts, meetings, travel, correspondence, expense reports, invoices, files, and administrative projects. The role requires strong organization, discretion, prioritization, writing, editing, and follow-up skills in a fast-paced legal environment. It is hybrid, with three on-site days per week in Bethesda, Maryland.

Manages an Indiana territory and develops GEICO agency relationships to drive sales growth and profitability. Responsibilities include recruiting and approving agencies, managing agent performance, delivering product training, translating strategic initiatives into local goals, developing marketing and growth plans, analyzing performance data, enforcing policies, and preparing budgets. The role requires insurance experience, strong communication and organizational skills, a valid driver's license, auto insurance, and 30% travel throughout the state.

Defend first-party insurance and personal injury lawsuits in Texas courts. Research law, prepare briefs, opinions, pleadings, motions and discovery, take depositions, represent clients at hearings and trials, and advise Claims on liability, damages, and case value.

Handle incoming auto insurance claims calls, gather accident facts and statements, investigate claim details, explain coverage and next steps, resolve customer concerns, and support policyholders through the claims process. The role requires strong empathy, communication, problem-solving, multitasking, and customer service skills, along with availability for evening, weekend, and holiday shifts.

Leads complex business initiatives and process improvements for Corporate Underwriting. Analyzes sales, underwriting, claims, and operational data; monitors KPIs; identifies root causes and performance trends; develops actionable recommendations; and partners with cross-functional teams and business leaders to implement solutions and drive measurable results.

Designs, develops, supports, and enhances Workday Financials integrations, including inbound and outbound interfaces, PRISM lineages, and Accounting Center processes. Translates business requirements into technical solutions, leads design sessions and code reviews, resolves integration issues, and ensures scalable, secure, reliable systems. The role also applies generative AI to automate monitoring, testing, troubleshooting, documentation, and Finance operations while mentoring engineers and evaluating emerging technologies.

Provides technical leadership for enterprise software and applied AI initiatives. Designs and delivers full-stack, microservice, event-driven, and AI-enabled solutions using cloud platforms, modern databases, orchestration, and agent workflows. Evaluates AI technologies, establishes production testing and governance practices, mentors engineering teams, and influences technical roadmaps. The role requires extensive full-stack development, architecture, cloud, and production generative AI experience.

Build and maintain scalable, resilient data systems and analytics platforms using Python, SQL, Spark, dbt, Kafka, cloud services, and modern data infrastructure. Design distributed systems, optimize data processing and storage, develop reusable data components, and support reporting solutions. Lead architecture and design sessions, code reviews, CI/CD, monitoring, and DevOps practices while collaborating cross-functionally and mentoring engineers.

Leads engineering teams in designing, building, and maintaining high-performance mobile and web applications. Owns solutions across their lifecycle, drives architecture and technical vision, leads design reviews and code reviews, ensures quality and performance, mentors engineers, and improves engineering practices. The role focuses on Flutter and Dart development, modern software architecture, REST APIs, CI/CD, infrastructure as code, testing, monitoring, and scalable production systems.

Leads technical architecture and multi-team engineering roadmaps while advancing applied AI, intelligent automation, and enterprise testing practices. Owns automated testing strategy across the test pyramid, including AI-assisted test generation, quality governance, CI gates, and failure analysis. Designs and delivers scalable SaaS platforms and microservices using Java, cloud infrastructure, containers, and event-driven architectures. Coaches senior engineers, drives standards adoption, and ensures reliability, security, observability, and responsible AI deployment.

Leads technology strategy and operations, overseeing culture and engagement, return-to-office, change management, talent resource management, and centralized executive assistant support. Establishes operating rhythms, governance, performance frameworks, and decision-making mechanisms for enterprise initiatives. Partners with business, HR, finance, communications, risk, compliance, and real estate stakeholders to improve technology delivery. Advises senior leadership, manages cross-functional teams, drives transformation, and develops organizational talent.

Designs, develops, and maintains scalable distributed systems and full-stack applications using ReactJS and .NET or Java. Builds RESTful APIs and microservices, manages SQL and NoSQL data, and applies cloud, Docker, Kubernetes, and CI/CD practices. Collaborates with stakeholders and cross-functional teams, leads design reviews and code reviews, mentors junior engineers, documents systems, and supports critical applications through on-call rotations.

Designs, builds, and operates production-grade generative AI systems, including intelligent automation, AI agents, document intelligence, decision support, and retrieval-augmented workflows. The role architects scalable and resilient services, integrates vector databases and knowledge graphs, evaluates AI performance, establishes safety and governance practices, collaborates across teams, and mentors engineers developing AI and agentic workflow capabilities.

Lead identity lifecycle and governance engineering across cloud and on-premises environments. Design scalable IAM solutions, implement RBAC, ABAC, SOD, and JIT provisioning, build identity APIs and services, integrate governance platforms with enterprise and cloud systems, and guide architecture, security, documentation, compliance, and team development.

Provides white-glove technical support to executive leadership, troubleshooting hardware, software, network, identity, and audio-visual issues across Windows and Mac environments. Manages executive devices, applications, licenses, meetings, and technology roadmaps; supports office moves, data recovery, testing, and special projects. Maintains documentation, reports, and procedures while proactively preventing disruptions and communicating clearly with nontechnical stakeholders. The role is onsite Monday through Friday and requires extensive executive-support experience.

Lead enterprise change and approval management strategy while driving technical initiatives across multiple teams. Design and develop resilient, cloud-native platforms using Go, Python, Java, containers, databases, and Azure. Guide architecture, reliability, observability, CI/CD, and infrastructure automation. Participate in on-call rotations, incident response, troubleshooting, root-cause analysis, and post-incident reviews. Mentor engineers, influence executives, collaborate with stakeholders, and improve operational efficiency.