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# AI Architect - RAG & Agentic AI

- **Company:** HELLO LLC
- **Location:** United States (Remote available)
- **Contract:** Contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Microsoft Azure, Data Architecture, Information Engineering, Extract Transform Load (ETL), High-Level Architecture, Python (Programming Language), OpenAI, Search Technologies, Software Deployment, Systems Integration, Chatbots, LangChain, Retrieval-Augmented Generation, Large Language Models, Snowflake, Multi-Agent Systems, Agentic-AI, Build Management, Claude, Agent SDK, Data Pipelines, Api Management, Databricks
- **Published:** November 5, 2026
- **Apply:** https://www.dice.com/job-detail/c525900e-af1d-4bc9-86eb-92b7567ddaf8

## About the Role

* Strong hands-on experience in Agentic AI, Multi-Agent Systems, and RAG architecture.
 * Expert-level Python programming and AI application development.
 * Experience building AI agents and integrating existing LLMs such as Claude, OpenAI, or Azure OpenAI.
 * Strong understanding of enterprise architecture, data engineering, ETL/ELT pipelines, and cloud platforms.
 * Experience with agent frameworks, vector databases, API integrations, and AI orchestration.
 * Strong technical leadership, problem-solving, and communication skills.
 * Experience delivering enterprise AI solutions in a consulting or services environment is preferred.

Key Expectation: We need a hands-on AI Architect who has personally designed, coded, and deployed AI agents and multi-agent solutions-not someone with only theoretical knowledge or high-level architecture experience. Building new LLMs from scratch is not required.

## Description

We are looking for a highly skilled, hands-on AI Architect with deep expertise in Agentic AI, Multi-Agent Systems, RAG architecture, and enterprise AI solutions. The ideal candidate should have strong Python development skills, a solid foundation in data architecture, and proven experience building and deploying AI agents from scratch. They also should have Snowflake and Databricks experience.
Key Responsibilities

 * Design and build enterprise-grade Agentic AI solutions, including conversational AI, autonomous agents, and multi-agent systems.
 * Architect and implement advanced RAG pipelines, vector search, embeddings, retrieval strategies, and context management.
 * Develop AI agents from scratch using Python, LangGraph, LangChain, Claude Agent SDK, or similar frameworks.
 * Design agent orchestration, agent-to-agent communication, tool integrations, and intelligent workflows.
 * Own end-to-end AI solution architecture, from design and development to production deployment.
 * Design data pipelines and integrate enterprise data sources using Azure, Databricks, Snowflake, and related technologies.
 * Ensure data quality, accessibility, security, governance, and reliability for AI applications.
 * Lead and mentor engineers while remaining actively involved in hands-on development.
 * Collaborate with enterprise architects, advisory teams, and client stakeholders.