Key skills
ApacheAWSAzureCloudGoogle Cloud PlatformJavaJavaScriptNeo4jNode.jsPythonReactSCSSTypeScriptAIMachine LearningMLNLPNatural Language ProcessingMLOpsSassGCPGoogle CloudCommunicationCollaboration
About this role
Role Overview
- Architect and design enterprise-scale knowledge graph platforms that capture and model GEICO's comprehensive insurance domain expertise, customer insights, product relationships, and market intelligence
- Build automated semantic content generation systems that leverage knowledge graphs to create personalized insurance content, product descriptions, educational materials, and customer communications at scale
- Develop intelligent content workflows and APIs that use graph traversal algorithms, natural language processing, and machine learning to automate content production, template generation, and multi-channel publishing
- Design real-time content personalization engines that query knowledge graphs to deliver contextually relevant messaging based on customer profiles, policy information, and behavioral patterns
- Create sophisticated data ingestion and enrichment pipelines that continuously build and maintain knowledge graphs from structured and unstructured data sources across the enterprise
- Implement semantic search and content discovery platforms that understand customer intent and context through graph-based query processing and recommendation algorithms
- Build internal dashboards and tooling for content performance monitoring, knowledge graph visualization, semantic relationship analysis, and content optimization insights
- Lead cross-functional collaboration with product managers, data scientists, and content strategists to translate business objectives into scalable knowledge-driven technical solutions
- Champion engineering excellence in semantic modeling, ontology design, graph database optimization, and AI/ML integration best practices
- Mentor engineering teams on knowledge graph technologies, content automation frameworks, and distributed system design patterns for semantic platforms
Requirements
- Proven experience designing and implementing knowledge management platforms, semantic data systems, content generation tools, or AI-driven developer platforms
- Full-stack developer with extensive experience in modern front-end frameworks (React, TypeScript), web technologies (JavaScript, HTML, CSS/SASS), backend languages (Node.js, Python, Java), and cloud platforms (Azure, AWS, GCP)
- Strong ability to architect distributed semantic systems and graph-based microservice architectures that handle complex data relationships and scale reliably
- Experience with knowledge graphs, semantic technologies, and AI/ML platforms such as Neo4j, Apache Jena, TigerGraph, or similar graph databases, along with NLP frameworks and content generation models
- Familiarity with semantic web standards (RDF, OWL, SPARQL), ontology design, knowledge representation, and automated reasoning systems
- Deep understanding of content management ecosystems, headless CMS architectures, API-driven publishing workflows, and content delivery optimization
- Experience with AI/ML frameworks for natural language processing, content generation (GPT, BERT, T5), recommendation systems, and knowledge extraction from unstructured data
- Product mindset and passion for building intelligent tools that solve complex content challenges and enhance user experiences through semantic understanding
- Excellent collaboration and communication skills with ability to explain complex semantic concepts to technical and non-technical stakeholders
- In-depth knowledge of CS data structures, algorithms, particularly graph algorithms, semantic matching, and distributed system design patterns
- Experience with MLOps, data pipeline orchestration, and real-time semantic data processing at scale
- 6+ years of professional software development experience building full-stack web applications, data platforms, or knowledge management systems
- 4+ years of experience with system architecture and design, particularly in semantic data systems, graph databases, or AI-powered content platforms
- 4+ years of experience with cloud platforms (AWS, GCP, Azure) including graph database services, ML platforms, and distributed semantic processing
- 2+ years of hands-on experience with knowledge graphs, semantic technologies, or AI-driven content generation systems
- Bachelor's degree in Computer Science, Data Science, Computational Linguistics, or equivalent work experience with demonstrated expertise in semantic technologies.
Tech Stack
- Apache
- AWS
- Azure
- Cloud
- Google Cloud Platform
- Java
- JavaScript
- Neo4j
- Node.js
- Python
- React
- SCSS
- TypeScript
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.