4 hours ago
Responsibilities
- Architect and lead deployment of scalable Graph+GenAI solutions aligned with complex enterprise requirements.
- Engage technical leaders, stakeholders, and strategic partners to discover requirements, assess data ecosystems, and align technical execution with business outcomes.
- Develop, test, deploy, and optimize production-ready AI applications integrating graph databases, LLMs, and orchestration frameworks.
- Guide project scope, priorities, risk mitigation, and delivery across high-impact customer engagements.
- Create workshops, training, documentation, methodologies, and published thought-leadership assets.
- Share field insights with Product and Marketing teams and help influence the product roadmap.
Requirements
- 7+ years of experience architecting and delivering enterprise-grade applications across the software development lifecycle.
- 2+ 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 deployment experience with Linux, Docker, Kubernetes, and version control systems such as Git or SVN.
- Expertise deploying and scaling applications across AWS, Azure, and GCP.
- Knowledge of generative AI frameworks and platforms including LangChain, LlamaIndex, Haystack, AWS Bedrock, Google Vertex AI, and Azure ML.
- Background in data engineering, analytics, or data science, including data pipelines, structured and unstructured data, Hadoop, Spark, Hive, SQL, and NoSQL systems.
- Deep expertise in graph data modeling, Cypher, and graph databases or triple stores such as Neo4j, Amazon Neptune, TigerGraph, Ontotext, or Stardog.
- Strong communication, stakeholder engagement, analytical, problem-solving, mentoring, and cross-functional collaboration skills.
- 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 include medical, dental, vision, 401(k), paid time off, and certain leaves of absence.
- The role requires travel of up to 50% for customer engagements.
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.