Forward-Deployed AI Engineer: GenAI, RAG & Knowledge Graph

Tiger Analytics; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Tiger Analytics is seeking a high-impact Lead AI Engineer to steer end-to-end AI engineering workstreams for the Luma platform. This role combines hands-on coding with architectural leadership, delivering GenAI, RAG, and Knowledge Graph solutions at enterprise scale.

You will work directly with customers, rapidly prototype POCs, and guide production deployments on AWS, Azure, or GCP, while shaping the technical direction of client engagements.

Qualifications

• Experience building GenAI, RAG, agentic AI solutions.
• Expertise with Neo4j Knowledge Graph technology is mandatory.
• Strong data engineering and AI application skills in Python or Go.

Responsibilities

• Lead end-to-end AI engineering workstreams for enterprise-scale solutions.
• Architect, design and deliver GenAI and knowledge graph deployments for clients.

Skills

GenAI / LLM / RAG / Agentic AI

Neo4j Knowledge Graph

Databricks / Spark / PySpark

Python or Go

Rapid Prototyping / POC

Cloud: AWS / Azure / GCP

Problem solving

Customer-facing

Tools

Neo4j

GraphRAG

Kubernetes

Docker

Job description

Tiger Analytics is seeking a high-impact Lead AI Engineer to steer end-to-end AI engineering workstreams for the Luma platform. This role combines hands-on coding with architectural leadership, delivering GenAI, RAG, and Knowledge Graph solutions at enterprise scale.

You will work directly with customers, rapidly prototype POCs, and guide production deployments on AWS, Azure, or GCP, while shaping the technical direction of client engagements.