Senior Engineer - Applied AI (Java) jobs in United States
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GEICO · 5 days ago

Senior Engineer - Applied AI (Java)

GEICO is seeking a Senior Engineer, Applied AI to help shape how Generative AI enhances customer and associate experiences across the enterprise. This hands-on technical role requires strong Java development expertise and involves designing, building, and integrating AI-powered capabilities that automate workflows and improve decision-making.

Auto InsuranceFinancial ServicesGovernmentInsuranceInternetMobile
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H1B Sponsorednote

Responsibilities

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

Qualification

JavaSpring BootGenerative AIMicroservicesAI frameworksRESTful API designCloud technologiesCI/CD practicesCommunication skillsTeam-oriented mindset

Required

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

Preferred

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

Benefits

Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family’s overall well-being.
Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance.
Access to additional benefits like mental healthcare as well as fertility and adoption assistance.
Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year.

Company

GEICO, Government Employees Insurance Company, has been providing affordable auto insurance since 1936. It is a sub-organization of Berkshire Hathaway.

H1B Sponsorship

GEICO has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (128)
2024 (277)
2023 (338)
2022 (212)
2021 (148)
2020 (205)

Funding

Current Stage
Late Stage
Total Funding
unknown
1996-01-01Acquired

Leadership Team

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Todd Combs
Chairman, President, and Chief Executive Officer
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Clayton Johnson
Sr. Director of Product Management
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Company data provided by crunchbase