AI Architect - RAG & Agentic AI

Ethereum Technologies LLC

Phoenix (AZ)

On-site

USD 99,000 - 141,000

Full time

34 hours ago
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Job summary

Ethereum Technologies in Phoenix, AZ is seeking a hands-on AI Architect with deep expertise in Agentic AI, multi-agent systems, and RAG architecture. You will design and deploy enterprise AI solutions with strong Python development and data architecture foundations.

Experience with Snowflake and Databricks is a plus. The role requires building AI agents from scratch, integrating LangGraph, LangChain, Claude Agent SDK, and leading end-to-end AI solution delivery.

Qualifications

  • Hands-on experience in Agentic AI, multi-agent systems, and RAG architecture.
  • Strong Python programming and AI application development skills.
  • Experience building AI agents and integrating LLMs such as Claude, OpenAI, or Azure OpenAI.
  • Understanding of enterprise architecture, data engineering, ETL/ELT pipelines, and cloud platforms.
  • Experience with agent frameworks, vector databases, API integrations, and AI orchestration.
  • Proven technical leadership and communication abilities.

Responsibilities

  • Design and build enterprise-grade Agentic AI solutions, including conversational AI and autonomous agents.
  • Architect and implement advanced RAG pipelines, vector search, embeddings, and context management.
  • Develop AI agents from scratch using Python and various frameworks.
  • Design agent orchestration, agent-to-agent communication, tool integrations, and intelligent workflows.
  • Own end-to-end AI solution architecture from design to deployment.
  • Design data pipelines and integrate enterprise data sources using Azure, Databricks, Snowflake, etc.
  • Ensure data quality, accessibility, security, and governance for AI apps.
  • Lead and mentor engineers while remaining hands-on.
  • Collaborate with enterprise architects, advisory teams, and client stakeholders.

Skills

Agentic AI
Multi-Agent Systems
RAG architecture
Python programming
AI application development
Lead and mentor engineers

Tools

LangGraph
LangChain
Claude Agent SDK
Azure OpenAI
Databricks

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other



Job Title: AI Architect - RAG & Agentic AI

Location: Phoenix, AZ

Duration: 6 Months + Extension

Bill Rate: $87/hour (C2C)

Job Type: W-2, 1099, C2C

Client: To Be Discussed Later

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other


Job Summary:

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.


Required Skills:


  • 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.


We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.

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