Graph+GenAI Architect for Enterprise AI Solutions

Neo4j, Inc.; United States; Remote; USD 160,000 - 220,000; Full time

Benefits offered by this job

Stock options

Annual bonus

Medical benefits

401(k)

Job summary

Neo4j, Inc. seeks an AI Solutions Architect to design, build, and deploy AI solutions that fuse graph databases with LLMs. You will advise strategic customers, translating complex data challenges into production-ready applications grounded in Neo4j Knowledge Graphs.

You will lead the discovery of requirements, craft scalable architectures, and collaborate with leadership to ensure business outcomes and measurable impact across enterprise engagements.

Qualifications

• Enterprise-grade apps lifecycle expertise.
• LLMs: prompt engineering, fine-tuning, integration.
• Deployment tooling: Linux, Docker, Kubernetes; Git/SVN.
• Cloud platforms: AWS, Azure, GCP; DevOps practices.
• GenAI ecosystems: LangChain, LlamaIndex, Haystack; cloud AI.
• Data/analytics, big data: Hadoop, Spark, Hive; SQL/NoSQL.
• Graph data modeling & Cypher; Neo4j and other engines.
• Strong communication & collaboration.
• Analytical problem solving; architecture mentoring.
• Willing to travel up to 50% to engage with customers.

Responsibilities

• Shape and guide Graph+GenAI implementations for key customers.
• Design robust, scalable architectures aligned with enterprise needs.
• Translate objectives into AI solutions using graph databases and LLMs.
• Steer project scope, priorities, risks, and delivery milestones.
• Develop, test, and deploy production AI apps with graph DBs and LLMs.
• Evaluate performance, scale, and efficiency of deployed AI systems.

Skills

Enterprise Architecture

LLM Proficiency

Deployment & VCS

Cloud Computing

GenAI Ecosystem

Data Analytics

Graph DB Expertise

Communication Skills

Problem Solving

Travel willingness

Job description

Neo4j, Inc. seeks an AI Solutions Architect to design, build, and deploy AI solutions that fuse graph databases with LLMs. You will advise strategic customers, translating complex data challenges into production-ready applications grounded in Neo4j Knowledge Graphs.

You will lead the discovery of requirements, craft scalable architectures, and collaborate with leadership to ensure business outcomes and measurable impact across enterprise engagements.