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Senior AI Solutions Architect - London

AIWorkplace — London
Published on 2026-10-29
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.

About this role

Design, build, and deploy production-grade AI applications combining Neo4j knowledge graphs, LLMs, and orchestration frameworks. Advise strategic customers and partners, translating complex data challenges into scalable solutions and measurable business value.

About the company

Neo4j builds a graph database and analytics platform that helps teams model, query, and uncover relationships in connected data.

Stack

Neo4jCypherLLMsLangChainLlamaIndexHaystackAWS BedrockVertex AI

What you'll do

  • Architect and deliver Graph+GenAI solutions for customer requirements.
  • Gather business and technical requirements and translate them into AI solutions.
  • Manage engagement scope, priorities, deliverables, risks, and timelines.
  • Develop, test, deploy, and optimize production-ready AI applications.
  • Share best practices through customer workshops, training, and documentation.
  • Provide field insights to Product and Marketing and contribute to published assets.

What we're looking for

  • 5+ years designing and developing enterprise applications.
  • 2+ years working with LLMs, including prompt engineering, fine-tuning, and application integration.
  • Hands-on programming experience in Java, JavaScript, Python, or C#.
  • Experience with Linux, Docker or Kubernetes, source control, and cloud deployments.
  • Knowledge of generative AI orchestration frameworks and cloud AI services.
  • Foundation in data engineering, analytics, or data science; experience with big data and SQL/NoSQL systems.
  • Hands-on graph database or triple-store experience, including graph modeling and query languages such as Cypher.
  • Strong communication, collaboration, analytical, and problem-solving skills.

Nice to have

  • Experience with Neo4j, Amazon Neptune, TigerGraph, Ontotext, or Stardog.
  • Familiarity with multiple commercial and open-source LLM providers.
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