Lead GenAI Architect for Enterprise AI Systems

Realign Llc; Jersey City (NJ); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Realign Llc in New York City / New Jersey is seeking a Senior GenAI Architect to design and implement scalable Generative AI and LLM solutions for enterprise applications. You will define AI architecture, build AI platforms with Python, integrate LLMs with enterprise data, and orchestrate RAG workflows with LangChain and LangGraph, ensuring scalable deployments.

Collaborating with data engineering, product, and business teams, you will translate requirements into production-ready architectures

Qualifications

• Experience designing GenAI/LLM architectures for enterprise-scale applications.
• Strong Python coding and data engineering fundamentals.
• Experience with LangChain/LangGraph and AI orchestration.

Responsibilities

• Design and architect enterprise-grade Generative AI and LLM solutions.
• Develop scalable AI applications using Python, RAG, and AI orchestration.
• Design Retrieval-Augmented Generation architectures.
• Build and orchestrate AI agents with LangChain and LangGraph.
• Develop AI workflows and intelligent automation solutions.
• Integrate LLM and AI services with enterprise applications via REST APIs and microservices.
• Collaborate with Data Engineering to build reliable data pipelines.
• Develop and optimize SQL-based data solutions.
• Design scalable cloud-based AI architectures.
• Define enterprise AI and Data Architecture standards.
• Evaluate emerging GenAI technologies for enterprise adoption.
• Work with engineering, data, product and business teams to translate requirements.

Skills

GenAI/LLM

Python

RAG

Agentic AI

AI orchestration

Data engineering

Cloud architecture

LangChain/LangGraph

Tools

LangChain

LangGraph

REST APIs

Microservices

SQL

Job description

Realign Llc in New York City / New Jersey is seeking a Senior GenAI Architect to design and implement scalable Generative AI and LLM solutions for enterprise applications. You will define AI architecture, build AI platforms with Python, integrate LLMs with enterprise data, and orchestrate RAG workflows with LangChain and LangGraph, ensuring scalable deployments.

Collaborating with data engineering, product, and business teams, you will translate requirements into production-ready architectures