Lead GenAI Architect: Enterprise LLM & RAG Solutions

Turing; New York (NY); Hybrid; USD 210,000 - 320,000; Full time

Job summary

Turing is seeking a Principal GenAI Engineer in NYC to lead enterprise-scale AI implementations for Fortune 500 clients. You will architect RAG-based systems and advanced LLM solutions that are scalable and explainable.

You will own Python codebases (LangChain/LangGraph) and SQL workflows, mentor engineers, and collaborate with product owners and data scientists to deploy GenAI apps on AWS, Azure or GCP with solid CI/CD.

Qualifications

• 8–13 years of experience in ML/AI systems.
• 2+ years hands-on with LLMs (RAG, agents, prompts).
• Strong Python, LangGraph, and SQL proficiency.
• Experience deploying GenAI on AWS, Azure or GCP.

Responsibilities

• Develop and optimize LLM-based solutions using RAG and agent architectures.
• Own Python codebases with LangChain/LangGraph; ensure reusable, scalable components.
• Assist cloud deployment of GenAI apps on Azure, GCP, or AWS with CI/CD.

Skills

LLMs (RAG, agents)

Python

LangGraph

SQL

Cloud deployment

Tools

LangChain

Job description

Turing is seeking a Principal GenAI Engineer in NYC to lead enterprise-scale AI implementations for Fortune 500 clients. You will architect RAG-based systems and advanced LLM solutions that are scalable and explainable.

You will own Python codebases (LangChain/LangGraph) and SQL workflows, mentor engineers, and collaborate with product owners and data scientists to deploy GenAI apps on AWS, Azure or GCP with solid CI/CD.