Neo4j Knowledge Graph Architect & GenAI POC Lead

Tiger Analytics Inc.; United States; On-site; USD 180,000 - 230,000; Full time

Benefits offered by this job

Career development opportunities

Entrepreneurial environment

Job summary

Tiger Analytics Inc. seeks a Lead AI Engineer to spearhead the end-to-end AI Engineering workstream for the Luma platform, delivering enterprise-scale GenAI, knowledge graph, and RAG solutions.

This hands-on leadership role interfaces with clients and drives architecture, design, and production deployment. You will build Neo4j knowledge graphs, Databricks pipelines, and scalable APIs using Python or Go, delivering rapid POCs/MVPs across AWS, Azure, or GCP, while advising customers and guiding

Qualifications

• Must have Neo4j / Knowledge Graph
• Expertise in Generative AI / LLM / RAG / Agentic AI
• Experience with Databricks, Spark, PySpark
• Application engineering capabilities in Python or Go
• Rapid prototyping / POC development
• Cloud deployment across AWS / Azure / GCP
• Strong problem-solving and debugging skills
• Self-driven, customer-focused in ambiguous environments

Responsibilities

• Build GenAI, RAG, Agentic AI, and AI-powered applications
• Develop Neo4j Knowledge Graph / GraphRAG solutions
• Build data and AI pipelines using Databricks and PySpark
• Develop scalable APIs, microservices, and backend apps in Python or Go
• Rapidly prototype and deliver POCs/MVPs for customers
• Deploy AI solutions across AWS, Azure, or GCP
• Work with LLM frameworks, vector databases, Kubernetes, and cloud-native infra
• Troubleshoot and optimize AI apps for performance, scalability, reliability, cost
• Act as technical consultant for enterprise customers

Skills

Knowledge Graph

Generative AI/LLM/RAG

Databricks/ Spark/ PySpark

Python/Go

POC Development

Cloud AWS/Azure/GCP

LLM frameworks/Vector DBs

Problem solving

Tools

Neo4j

Databricks

PySpark

Kubernetes

Docker

Job description

Tiger Analytics Inc. seeks a Lead AI Engineer to spearhead the end-to-end AI Engineering workstream for the Luma platform, delivering enterprise-scale GenAI, knowledge graph, and RAG solutions.

This hands-on leadership role interfaces with clients and drives architecture, design, and production deployment. You will build Neo4j knowledge graphs, Databricks pipelines, and scalable APIs using Python or Go, delivering rapid POCs/MVPs across AWS, Azure, or GCP, while advising customers and guiding