Neo4j

Neo4j

Neo4j is the world's leading graph database management system, empowering organizations to build intelligent applications for fraud detection, real-time recommendations, and network security at scale.

IT Services
251-1K
Founded 2007
$582M raised

Description

  • Advise technical leaders, stakeholders, and strategic partners throughout complex Graph+GenAI engagements.
  • Design and lead scalable solution architectures aligned with enterprise requirements and industry best practices.
  • Discover customer requirements, assess data ecosystems, and identify opportunities for graph-based AI applications.
  • Manage stakeholder alignment, project scope, priorities, risks, delivery timelines, and business outcomes.
  • Develop, test, deploy, and integrate production-ready AI applications using graph databases, LLMs, and orchestration frameworks.
  • Optimize the performance, scalability, and efficiency of deployed AI applications.
  • Collaborate with Product and Marketing teams to influence the roadmap and develop methodologies, thought leadership, and published assets.
  • Deliver workshops, training, documentation, and internal enablement for customers and Neo4j teams.
  • Maintain current knowledge of emerging generative AI technologies and practices.

Requirements

  • 7+ years of experience architecting and delivering enterprise-grade applications across the full software development lifecycle.
  • 2+ years of experience working with LLMs, including prompt engineering, fine-tuning, and application integration.
  • Advanced proficiency in Java, JavaScript, Python, C#, or another major programming language.
  • Hands-on experience with Linux, Docker, Kubernetes, and enterprise version control systems such as Git or SVN.
  • Expertise deploying and scaling applications on AWS, Azure, or GCP, with knowledge of cloud-native architecture and DevOps practices.
  • Knowledge of generative AI frameworks such as LangChain, LlamaIndex, or Haystack and platforms such as AWS Bedrock, Google Vertex AI, or Azure ML.
  • Experience with data engineering, analytics, or data science, including structured and unstructured data pipelines, Hadoop, Spark, Hive, SQL, and NoSQL databases.
  • Deep expertise in graph data modeling, Cypher, and graph databases such as Neo4j, Amazon Neptune, or TigerGraph; experience with triple stores is also relevant.
  • Exceptional communication, stakeholder engagement, analytical, problem-solving, and team mentoring abilities.
  • Willingness and ability to travel up to 50%.

Benefits

  • Annual on-target earnings of $200,000–$265,000 USD for U.S.-based employees.
  • Stock option grant for U.S. employees.
  • Annual bonus eligibility for certain roles.
  • Medical, dental, and vision insurance.
  • 401(k) plan.
  • Paid time off and certain leaves of absence.
  • Inclusive, diverse, and equitable workplace culture.

Interested in this position?

Apply directly on the company website

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