4 hours ago
London, United KingdomSenior
Responsibilities
- Design architectures and manage implementations of Graph+GenAI solutions for strategic customers and partners.
- Gather requirements, understand customer data landscapes, and translate business objectives into AI-powered solutions using graph databases and LLMs.
- Develop, test, deploy, and optimize production-ready AI applications integrated with customer systems.
- Manage project scope, priorities, deliverables, risks, issues, and timelines throughout customer engagements.
- Provide technical guidance, workshops, training, documentation, and enablement for customers and internal teams.
- Collaborate with Product and Marketing, contribute field insights to the roadmap, and develop thought leadership, methodologies, and published assets.
- Maintain current knowledge of generative AI trends, techniques, and technologies.
Requirements
- At least 5 years of experience designing and developing enterprise-class applications.
- At least 2 years of experience working with LLMs, including prompt engineering, fine-tuning, and application integration.
- Hands-on proficiency in at least one of Java, JavaScript, Python, or C# and the ability to write clean, maintainable, efficient code.
- Hands-on experience with Linux, Docker, Kubernetes, Git, and SVN for deployment and source control.
- Practical experience deploying applications on AWS, Azure, or GCP cloud environments.
- Deep knowledge of generative AI orchestration frameworks such as LangChain, LlamaIndex, or Haystack and cloud AI offerings such as AWS Bedrock, Vertex AI, or Azure Machine Learning.
- A strong foundation in data engineering, data analytics, or data science, including experience with big data technologies and SQL or NoSQL database systems.
- Deep understanding of graph databases, data modeling, and query languages such as Cypher, with hands-on experience with graph databases or triple stores.
- Excellent communication, collaboration, analytical, and problem-solving abilities.
- Ability to travel up to 50% of the time for customer engagements.
- Familiarity with LLM providers and models including OpenAI GPT and O families, Anthropic Claude, Google Gemini, xAI Grok, Llama, DeepSeek, and Mistral is required.
Benefits
- Opportunity to work at Neo4j on graph intelligence, AI, and knowledge graph solutions for global enterprise customers.
- Collaborative, inclusive, equitable workplace with opportunities for innovation, professional development, and career growth.
- London-based role requiring 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.