Senior Solution Engineer - AI, - Stockholm

Neo4J-posted 2 months ago
Stockholm, ME
501-1,000 employees
Publishing Industries
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Neo4j is the world's leading graph database, and our Solution Engineering team are the people who help customers realise its value every day. Neo4j has proven to be the go-to data management solution in use cases such as Fraud Detection, Knowledge Graphs, Recommendation and personalisation, Risk management, Security, IT Management and Network Operations and many more. With the rise of GenAI and LLMs, graph databases have become essential infrastructure for building intelligent, contextual AI applications. In the Neo4j Sales Engineering team, we are technologists who enjoy working directly with customers in a variety of industries and with a wide range of technologies and architectures. We provide engineering and architecture leadership and development for the Neo4j-based solutions our customers are building.

  • Working with our customers' teams, you'll lead and contribute to all phases of the Neo4j PreSales projects
  • Be an integral part of the Neo4j sales team, helping to persuade prospective Neo4j users of the benefits and advantages of graph database technology for AI and GenAI use cases
  • Position the Neo4j technology within the customer's environment and architecture, particularly in AI/ML pipelines and LLM-based applications
  • Discuss solution architectures with our customers to address the technical requirements of our customers' projects, including Retrieval-Augmented Generation (RAG), GraphRAG, conversational AI, and intelligent recommendation systems
  • Design and build prototype solutions that demonstrate required functionality with Neo4j, including implementations of vector search, knowledge graph-enhanced RAG, and AI agent architectures
  • Articulate how graph technology enhances AI outcomes through improved context, explainability, and reasoning capabilities
  • Help prepare solution proposals for our customer's engineering and management teams that help address the overall project goals
  • 5+ years working in a presales or professional services organisation
  • Skilled in customer discovery, and the ability to uncover root causes of customer pain points and map these to a technical solution
  • Excellent understanding and demonstrable experience with database technologies and data modelling concepts, ideally with NoSQL stores
  • Strong experience with AI/ML technologies, specifically: Retrieval-Augmented Generation (RAG) architectures and implementation patterns
  • Working knowledge of Large Language Models (LLMs) and their APIs (OpenAI, Anthropic, Google Vertex AI, Azure OpenAI, etc.)
  • Vector embeddings and semantic search implementations
  • Familiarity with LLM application frameworks (LangChain, LlamaIndex, or similar)
  • Understanding of knowledge graph construction from unstructured data (entity extraction, relationship mapping)
  • Experience articulating the business value of combining graphs with AI for improved accuracy, reduced hallucinations, and enhanced explainability
  • Architecture skills - i.e. mapping business to technical requirements and understanding multiple components to build a solution, including hybrid AI architectures that combine vector and graph-based retrieval
  • Software engineering experience
  • Familiarity with at least one programming language (eg. Python, Java, Javascript) with Python strongly preferred for AI/ML work
  • Ability to engage and interact with engineers in an advisory role
  • Comfortable and quick with learning new technologies as needed
  • Passionate about solving technical problems
  • Capable of educating and training small groups
  • Strong understanding of the sales process
  • A proactive approach to keeping the technical aspects of a sales process on track
  • Industry vertical experience in Government and ideally one or more of: Financial Services, Retail, Security or Pharmaceutical, Supply Chain, Manufacturing
  • Excellent written and spoken English communication skills
  • Ability to work independently, self-directed and remotely in a cross-functional organisation
  • Ability and willingness to travel
  • Graph DB related experience i.e. Neo4j, other property graph or RDF platform, Gaffer, etc. is ideal
  • Experience with Graph Neural Networks (GNNs) or graph-based machine learning techniques
  • Knowledge of graph embeddings (Node2Vec, GraphSAGE, etc.)
  • Experience with GraphRAG patterns or building agentic AI systems
  • Understanding of prompt engineering and LLM optimization techniques
  • Familiarity with AI use cases such as conversational AI, intelligent search, or context-aware recommendations
  • Data integration: ETL, Virtualisation, federation
  • BI and data visualisation (Tableau, Qlik, viz libraries: D3, viz.js, Linkurious...)
  • Opportunity to shape the future of data and analytics
  • Fast-scaling technology company with significant funding and growth
  • Strong culture that values relationships, inclusiveness, innovation, and customer success
  • Recognition and awards in the industry
  • High ROI for customers as cited in studies
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