11 hours ago
Responsibilities
- Advise technical leaders, stakeholders, and strategic partners on complex Graph+GenAI implementations.
- Design and advocate for scalable solution architectures aligned with enterprise requirements and industry best practices.
- Discover customer requirements, assess enterprise data ecosystems, and identify opportunities for graph-based AI.
- Lead stakeholder engagement, scope alignment, prioritization, risk mitigation, and delivery coordination.
- Develop, test, deploy, and optimize production-ready AI applications integrating graph databases, LLMs, and orchestration frameworks.
- Collaborate with Product and Marketing to influence the roadmap and package field knowledge into methodologies and published assets.
- Deliver customer and internal workshops, training, and documentation.
- Maintain current knowledge of generative AI trends, techniques, and technologies.
Requirements
- 10+ years of experience architecting and delivering enterprise-grade applications across the software development lifecycle.
- 5+ years of experience working with LLMs, including prompt engineering, fine-tuning, and application integration.
- Advanced proficiency in at least one of Java, JavaScript, Python, or C#.
- Hands-on experience with Linux, Docker, Kubernetes, and enterprise version control workflows using Git or SVN.
- Expertise deploying and scaling applications across AWS, Azure, and GCP, with knowledge of cloud-native architecture and DevOps practices.
- In-depth knowledge of generative AI frameworks and cloud-native AI platforms.
- Strong background in data engineering, analytics, or data science, including data pipelines, structured and unstructured data, and big data technologies.
- Deep expertise in graph data modeling, Cypher, graph databases or triple stores, and knowledge graph applications.
- Exceptional communication, stakeholder engagement, analytical, problem-solving, and team mentoring abilities.
- Willingness and ability to travel up to 50%.
Benefits
- US employees are eligible for stock option grants, and certain roles are eligible for an annual bonus.
- Benefits currently include medical, dental, and vision coverage, 401(k), paid time off, and certain leaves of absence.
- The role requires travel of up to 50% for customer engagements and strategic discussions.
Tech Stack
Apache HadoopApache HiveApache SparkAWSAzureC#DockerGitGoogle Cloud PlatformJavaJavaScriptKubernetesLinuxNeo4jPythonSQLSubversion
Categories
Solutions Engineering
About Neo4j
Neo4j builds a native graph database and graph analytics platform for developers and data teams, available as self-managed software and the Aura managed cloud. It powers knowledge graphs, recommendations, fraud detection, and other relationship-centric applications via the Cypher query language and integrations across data tools. Founded in 2007 and headquartered in San Mateo, the privately held company commercializes the open-source Neo4j project with enterprise subscriptions and support.