Graph+GenAI Solutions Architect

Neo4j, Inc.; Oregon; Hybrid; USD 160,000 - 220,000; Full time

Benefits offered by this job

Stock options

Medical benefits

Dental benefits

Vision benefits

401(k)

Job summary

Neo4j, Inc. seeks an AI Solutions Architect to design and deploy AI solutions that combine graph databases with GenAI capabilities. You will guide strategic customers, translate complex data needs into production-ready AI apps using Neo4j Knowledge Graphs, and influence roadmaps with Product and Marketing.

You will lead architecture and deployment across Linux, Docker, and Kubernetes, while collaborating with stakeholders to ensure outcomes align with business goals. Travel up to 50% is required.

Qualifications

• Enterprise Application Architecture with 5+ years of experience.
• LLM proficiency including prompt engineering and integration.
• Programming in Java, JavaScript, Python, or C#."
• Deployment tooling across Linux, Docker, and Kubernetes; Git/SVN workflows.
• Cloud deployment and scaling on AWS, Azure, or GCP with DevOps practices.
• Knowledge of Generative AI ecosystems and cloud-native AI platforms.
• Experience in data engineering, analytics, or data science with SQL/NoSQL.
• Graph data modeling and Cypher; experience with graph databases.
• Superior communication and stakeholder engagement; travel up to 50%.

Responsibilities

• Architect Graph+GenAI solutions guiding enterprise engagements.
• Develop, test, and deploy production AI applications integrating graphs and LLMs.
• Educate and enable internal teams and customers through workshops, training, and docs.

Skills

LLM Proficiency

Programming Proficiency

Deployment & Version Control

Cloud Computing

Generative AI Ecosystem

Data & Analytics Fluency

Graph Database Authority

Communication & Collaboration

Willingness to Travel

Tools

Docker

Kubernetes

Git

SVN

LangChain

LlamaIndex

Haystack

AWS Bedrock

Vertex AI

Azure ML

Job description

Neo4j, Inc. seeks an AI Solutions Architect to design and deploy AI solutions that combine graph databases with GenAI capabilities. You will guide strategic customers, translate complex data needs into production-ready AI apps using Neo4j Knowledge Graphs, and influence roadmaps with Product and Marketing.

You will lead architecture and deployment across Linux, Docker, and Kubernetes, while collaborating with stakeholders to ensure outcomes align with business goals. Travel up to 50% is required.