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GEICO is seeking an experienced Staff Software Engineer to join our Knowledge Graph and Content Generation engineering group. This is a high-impact team focused on scaling GEICO's intelligent content creation capabilities through advanced graph-based technologies and AI-driven semantic platforms. In this role, you will lead the technical strategy and implementation of knowledge graph systems, automated content generation workflows, semantic data platforms, and intelligent content delivery solutions that empower our content, marketing, and customer experience teams.

As part of the MarTech organization, this Staff Engineer will collaborate closely with product managers, data scientists, content strategists, and marketing teams to design and deliver cutting-edge knowledge-driven platforms that enable personalized, contextually relevant content generation at enterprise scale. You'll work hands-on across the technology stack, from graph databases and semantic modeling to NLP pipelines and content delivery systems, while influencing architecture decisions and engineering best practices.

You will help drive our insurance business transformation as we transition from traditional content creation methods to an AI-powered, knowledge-driven content ecosystem that delivers exceptional customer experiences, while co-creating a culture of innovation, psychological safety, and continuous improvement.

As a Staff Engineer, you will:

• Architect and design enterprise-scale knowledge graph platformsthat capture and model GEICO's comprehensive insurance domain expertise, customer insights, product relationships, and market intelligence
• Build automated semantic content generation systemsthat leverage knowledge graphs to create personalized insurance content, product descriptions, educational materials, and customer communications at scale
• Develop intelligent content workflows and APIsthat 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 enginesthat query knowledge graphs to deliver contextually relevant messaging based on customer profiles, policy information, and behavioral patterns
• Create sophisticated data ingestion and enrichment pipelinesthat continuously build and maintain knowledge graphs from structured and unstructured data sources across the enterprise
• Implement semantic search and content discovery platformsthat understand customer intent and context through graph-based query processing and recommendation algorithms
• Build internal dashboards and toolingfor content performance monitoring, knowledge graph visualization, semantic relationship analysis, and content optimization insights
• Lead cross-functional collaborationwith product managers, data scientists, and content strategists to translate business objectives into scalable knowledge-driven technical solutions
• Champion engineering excellencein semantic modeling, ontology design, graph database optimization, and AI/ML integration best practices
• Mentor engineering teamson knowledge graph technologies, content automation frameworks, and distributed system design patterns for semantic platforms

Qualifications:

• Proven experience designing and implementing knowledge management platforms, semantic data systems, content generation tools, or AI-driven developer platforms
• Full-stack developer with extensive experiencein 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 systemsand graph-based microservice architectures that handle complex data relationships and scale reliably
• Experience with knowledge graphs, semantic technologies, and AI/ML platformssuch 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 frameworksfor natural language processing, content generation (GPT, BERT, T5), recommendation systems, and knowledge extraction from unstructured data
• Product mindset and passionfor building intelligent tools that solve complex content challenges and enhance user experiences through semantic understanding
• Excellent collaboration and communication skillswith 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

Experience:

• 6+ years of professional software development experiencebuilding 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 experiencewith knowledge graphs, semantic technologies, or AI-driven content generation systems
• Bachelor's degree in Computer Science, Data Science, Computational Linguistics, or equivalent work experiencewith demonstrated expertise in semantic technologies