Software Engineer; HYBRID

Position Overview

GEICO is seeking an experienced Staff Software Engineer to join our Knowledge Graph and Content Generation engineering group. This high-impact team focuses 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.

• 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.

• 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, Type Script), 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, Tiger Graph, 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…