Senior GenAI Architect: Scalable AI, RAG & Agents

Realign Llc; New York (NY); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Realign Llc is seeking a Senior GenAI Architect in the NYC/NJ area to lead the design and implementation of scalable Generative AI and LLM solutions for enterprise applications. You will drive AI architecture, data integration, and cloud-based platforms, collaborating with data, product, and business teams to translate requirements into robust AI systems.

The role emphasizes hands-on development in Python, RAG architectures, and agentic AI, with responsibilities spanning engineering leadership,

Qualifications

• Strong hands-on experience with Generative AI and LLMs.
• Proficiency in Python programming.
• Experience designing RAG architectures and agentic AI solutions.
• Hands-on experience with LangChain and LangGraph.
• Understanding of AI orchestration and multi-agent workflows.
• REST APIs, microservices, and enterprise integrations.

Responsibilities

• Design and architect enterprise-grade Generative AI and LLM solutions.
• Develop scalable AI applications using Python, RAG, agentic AI, and AI orchestration.
• Design Retrieval-Augmented Generation architectures integrating enterprise data sources.
• Build and orchestrate AI agents using LangChain and LangGraph.
• Develop AI workflows, agentic systems, and intelligent automation solutions.
• Integrate LLM and AI services with enterprise applications via REST APIs.

Skills

GenAI/LLM

Python

RAG

Agentic AI

AI orchestration

LangChain

LangGraph

REST APIs

microservices

Data Architecture

Cloud platforms

Tools

LangChain

LangGraph

Job description

Realign Llc is seeking a Senior GenAI Architect in the NYC/NJ area to lead the design and implementation of scalable Generative AI and LLM solutions for enterprise applications. You will drive AI architecture, data integration, and cloud-based platforms, collaborating with data, product, and business teams to translate requirements into robust AI systems.

The role emphasizes hands-on development in Python, RAG architectures, and agentic AI, with responsibilities spanning engineering leadership,