AI Architect - RAG & Agentic AI Lead

Valiant Technologies LLC; Phoenix (AZ); On-site; USD 99,000 - 141,000; Full time

Job summary

Valiant Technologies LLC is seeking a hands‑on AI Architect in Phoenix to design enterprise AI solutions with focus on Agentic AI, multi‑agent systems, and RAG architecture. You will build pipelines, manage data, and deploy agents using Python, LangChain, and Claude/OpenAI/Azure OpenAI integrations.

The role requires strong data architecture, cloud expertise, and leadership to mentor engineers while delivering production‑level AI systems.

Qualifications

• We require hands‑on expertise in Agentic AI, Multi‑Agent systems, and RAG architecture.
• Proven Python development experience and AI application delivery.
• Experience integrating LLMs such as Claude, OpenAI, or Azure OpenAI.
• Strong understanding of data engineering, ETL/ELT pipelines, and cloud platforms.

Responsibilities

• Design and build enterprise‑grade Agentic AI solutions including conversational AI and autonomous agents.
• Architect and implement RAG pipelines, vector search, embeddings, and context management.
• Develop AI agents from scratch using Python and LangChain/LangGraph tooling.
• Lead agent orchestration, agent‑to‑agent communication, and tool integrations.
• Own end‑to‑end AI solution architecture from design to production deployment.
• Design data pipelines and integrate enterprise data sources using Databricks, Snowflake and related tech.

Skills

Agentic AI

RAG architecture

Python

LangChain

LangGraph

Claude Agent SDK

Azure OpenAI

Databricks

Snowflake

Data pipelines

Cloud platforms

Tools

Virtual Machines

APIs

Job description

Valiant Technologies LLC is seeking a hands‑on AI Architect in Phoenix to design enterprise AI solutions with focus on Agentic AI, multi‑agent systems, and RAG architecture. You will build pipelines, manage data, and deploy agents using Python, LangChain, and Claude/OpenAI/Azure OpenAI integrations.

The role requires strong data architecture, cloud expertise, and leadership to mentor engineers while delivering production‑level AI systems.