Senior GenAI Architect - GraphRAG, Neo4j & Production

Robotic Technologies Automation; Illinois; On-site; USD 140,000 - 190,000; Full time

Job summary

ROBOTIC PROCESS AUTOMATION LLC is seeking an experienced Architect to lead end-to-end GenAI systems, including GraphRAG pipelines and production deployments.

You will design and maintain large-scale knowledge graphs with Neo4j, integrate vector databases, and ground AI responses in factual information. The role emphasizes collaboration with data engineers and product teams, plus CI/CD and responsible AI practices.

Qualifications

• 7+ years of experience in software development or AI engineering.
• Expert-level proficiency in Python and AI/ML frameworks.
• Strong hands-on experience with graph databases, especially Neo4j, incl. Cypher and graph algorithms.
• Deep GenAI knowledge: LLMs, embeddings, prompt engineering, RAG systems.
• Cloud experience deploying models (GCP) and managing infra.
• Excellent analytical and problem-solving skills.
• Education in CS/DS/Engineering (Bachelor's or Master's).

Responsibilities

• Architect and implement end-to-end GenAI solutions, including RAG pipelines and AI agents.
• Develop and maintain large-scale knowledge graphs using Neo4j.
• Build GraphRAG pipelines integrating vector databases and knowledge graphs.
• Collaborate with data scientists and ML engineers to optimize LLMs and infrastructure.
• Set up scalable data pipelines for ingestion, embeddings, preprocessing, and retraining.
• Provide technical leadership and guidance to junior developers across cross-functional teams.
• Stay current with GenAI, graph databases, and MLOps; promote CI/CD and responsible AI practices.

Skills

Python

PyTorch

TensorFlow

LangChain

LlamaIndex

Neo4j

GenAI

RAG

Education

Bachelor's or master's degree in computer science, data science, engineering

Tools

Cypher

Job description

ROBOTIC PROCESS AUTOMATION LLC is seeking an experienced Architect to lead end-to-end GenAI systems, including GraphRAG pipelines and production deployments.

You will design and maintain large-scale knowledge graphs with Neo4j, integrate vector databases, and ground AI responses in factual information. The role emphasizes collaboration with data engineers and product teams, plus CI/CD and responsible AI practices.