Senior AI Solutions Architect
AI summary of the role
This is a senior customer-facing role designing and deploying production-ready AI solutions that combine Neo4j graph databases with LLMs and orchestration frameworks.
What you’ll do
- Lead design, construction, and deployment of Graph+GenAI solutions for strategic customers
- Engage with technical leaders and stakeholders to shape and guide implementation of AI solutions
- Develop, test, and deploy production-ready AI applications integrating graph databases with LLMs
- Collaborate with Product and Marketing to influence roadmap and package best practices into thought leadership
What you’ll bring
- 7+ years of experience architecting and delivering enterprise-grade applications
- 2+ years of experience working with LLMs including prompt engineering, fine-tuning, and integration
- Advanced proficiency in Java, JavaScript, Python, or C#
- Deep hands-on experience with Linux, Docker, and Kubernetes deployment tooling
Technologies
Neo4j · Cypher · LangChain · LlamaIndex · Haystack · AWS Bedrock · Google Vertex AI · Azure ML · Kubernetes · Spark
About Neo4j
Neo4j provides graph databases, analytics, and knowledge-graph agent tooling for enterprises needing explainable AI, fraud, recommendations, digital twins, and connected-data apps.
Series F · 500–1000 people
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