220K–310K USD / year

Principal AI Solutions Architect

AIWorkplace — United States
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

Lead the design and delivery of enterprise AI applications that combine Neo4j knowledge graphs with LLMs. Advise strategic customers, translating complex business and data needs into scalable, production-ready solutions.

About the company

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

Stack

Neo4jCypherLLMsLangChainLlamaIndexHaystackAWS BedrockGoogle Vertex AI

What you'll do

  • Advise customer leaders and partners on Graph+GenAI solution architecture and implementation.
  • Discover customer requirements and assess enterprise data ecosystems to identify opportunities for graph-based AI.
  • Design and deploy scalable enterprise architectures aligned with business outcomes.
  • Build, test, and optimize production AI applications integrating graph databases, LLMs, and orchestration frameworks.
  • Manage stakeholder alignment, project scope, priorities, risks, and delivery.
  • Share expertise through workshops, training, documentation, and published best practices.
  • Provide customer insights to Neo4j Product and Marketing teams to inform the roadmap.

What we're looking for

  • 10+ years architecting and delivering enterprise-grade applications.
  • 5+ years 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, and Kubernetes; expert use of version control.
  • Experience deploying and scaling applications on AWS, Azure, or GCP.
  • Knowledge of generative AI frameworks and cloud AI platforms.
  • Background in data engineering, analytics, or data science, including data pipelines and big data technologies.
  • Deep graph data modeling and query-language expertise, such as Cypher, with practical graph database or triple-store experience.

Benefits

  • Stock option grant
  • Annual bonus eligibility for certain roles
  • Medical, dental, and vision benefits
  • 401(k)
  • Paid time off
  • Certain leaves of absence
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