GenAI Orchestration Architect & AI Agent Lead

Nityo Infotech; Richardson (TX); On-site; USD 140,000 - 210,000; Full time

Job summary

Nityo Infotech in Richardson, TX seeks a Senior GenAI Architect to lead enterprise-scale AI deployments, integrating RAG, agents, and orchestration frameworks.

You will work with LangChain, LangGraph, and vector databases to build scalable, secure GenAI copilots and integrations with cloud AI services. This role requires collaboration with product, engineering, and data teams to design reusable components, ensure governance, and deliver measurable business impact.

Qualifications

• Experience in Enterprise GenAI and Agentic AI solutions across RAG, AI agents, conversational AI, enterprise search.
• Experience in workflow automation, document intelligence, and AI copilots.
• Experience in planner-executor, reflection, multi-agent, and graph-based orchestration patterns.
• Hands-on with orchestration frameworks (LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI) and vector databases (Pinecone, Weaviate, Milvus, pgvector, FAISS, ChromaDB, Azure AI Search).

Responsibilities

• Design and implement enterprise GenAI solutions with RAG and agentic architectures.
• Build and optimize orchestration patterns across multiple agents and workflows.
• Collaborate with data, security, and product teams to deliver scalable AI copilots.

Skills

GenAI architectures

Agentic AI

RAG pipelines

AI agents

Conversational AI

Enterprise search

Workflow automation

Document intelligence

AI copilots

Planner-executor

Reflection

Multi-agent

Graph orchestration

Tools

LangChain

LangGraph

LlamaIndex

Semantic Kernel

AutoGen

CrewAI

Pinecone

Weaviate

Milvus

pgvector

FAISS

ChromaDB

Azure AI Search

Job description

Nityo Infotech in Richardson, TX seeks a Senior GenAI Architect to lead enterprise-scale AI deployments, integrating RAG, agents, and orchestration frameworks.

You will work with LangChain, LangGraph, and vector databases to build scalable, secure GenAI copilots and integrations with cloud AI services. This role requires collaboration with product, engineering, and data teams to design reusable components, ensure governance, and deliver measurable business impact.