AI Solutions Architect

Responsibilities

• Partner with customer technical leads and executives to design and deliver successful Graph+GenAI implementations.
• Propose solution architectures that translate complex business objectives into AI-powered solutions using graph databases and LLMs.
• Develop, test, and deploy production-ready AI applications, ensuring high performance, scalability, and seamless integration.
• Manage project scope, priorities, deliverables, and risks to ensure successful customer outcomes.
• Collaborate with Product and Marketing teams to influence the roadmap and package best practices into thought leadership assets.
• Provide technical enablement to customers and internal teams through workshops, training, and documentation.

Requirements

• 5+ years of experience in enterprise application development and the software development lifecycle.
• 2+ years of experience working with Large Language Models (LLMs), including prompt engineering and integration.
• Proficiency in at least one programming language: Java, JavaScript, Python, or C#.
• Hands-on experience with deployment tools such as Docker and Kubernetes.
• Practical expertise in cloud platforms (AWS, Azure, or GCP).
• Deep understanding of graph database concepts, data modeling, and query languages like Cypher.
• Knowledge of AI orchestration frameworks such as LangChain or Llama Index.
• Strong foundation in data engineering, analytics, or data science.
• Ability to travel for customer engagements.

About the Company

Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. We provide enterprise-ready knowledge graphs for accurate, explainable, and governed AI, trusted by 84 of the Fortune 100. Our mission is to help the world make sense of data by helping organizations find and understand complex relationships.