Principal GenAI Architect – Graph-RAG & LLMs (Remote)

Droisys; New York (NY); On-site; USD 190,000 - 240,000; Full time

Job summary

Droisys is hiring a Principal GenAI Engineer to lead enterprise-scale AI implementations for Fortune 500 clients. The role focuses on building Graph-powered RAG systems that combine structured semantic reasoning with advanced LLM architectures to deliver scalable, explainable, production-grade AI solutions.

You will work across cloud platforms (AWS/Azure/GCP), mentor teams, and collaborate with product owners to translate complex requirements into production-ready GenAI capabilities.

Qualifications

• 8-13 years of experience in ML/AI systems.
• 2+ years hands‑on experience with LLMs (RAG, agents, prompt engineering).
• Strong proficiency in Python, LangGraph, and SQL.
• Experience deploying GenAI systems on AWS / Azure / GCP.
• Knowledge Graph design, ontologies, and semantic data models is a plus.

Skills

ML/AI systems experience

LLMs (RAG, agents, prompt engineering)

Python

LangGraph

SQL

AWS/Azure/GCP

Knowledge Graph concepts

Neo4j/Amazon Neptune

Cypher

LangChain

Graph-based retrieval

Tools

Neo4j

Amazon Neptune

LangChain

LangGraph

Cypher

Job description

Droisys is hiring a Principal GenAI Engineer to lead enterprise-scale AI implementations for Fortune 500 clients. The role focuses on building Graph-powered RAG systems that combine structured semantic reasoning with advanced LLM architectures to deliver scalable, explainable, production-grade AI solutions.

You will work across cloud platforms (AWS/Azure/GCP), mentor teams, and collaborate with product owners to translate complex requirements into production-ready GenAI capabilities.