AI Architect - RAG & Agentic AI

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

Job summary

Robotic Technologies Automation is seeking a highly skilled AI Architect specializing in Agentic AI, RAG, and multi‑agent systems. You will design and deploy enterprise AI solutions with strong emphasis on Python development, data architecture, and production readiness.

The role requires hands-on leadership, experience with LangChain, Claude/OpenAI/Azure OpenAI, and building end‑to‑end AI pipelines in a consulting or services context. Location is Phoenix, AZ; duration ~6 months with extension.

Qualifications

• Hands-on experience in Agentic AI, multi-agent systems, and RAG architecture.
• Expert-level Python programming for AI applications.
• Experience building AI agents and integrating LLMs (Claude, OpenAI, Azure OpenAI).
• Strong understanding of enterprise data architecture and cloud platforms.
• Experience with agent frameworks, vector databases, API integrations, and AI orchestration.
• Proven technical leadership and strong communication skills.
• Experience delivering enterprise AI solutions in consulting or services environment.

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.

Skills

Agentic AI

Multi-Agent Systems

RAG architecture

Python programming

LLM integration

Enterprise architecture

Data engineering/ETL/ELT

Cloud platforms

Agent frameworks

Vector databases

API integrations

AI orchestration

Technical leadership

Consulting experience

Tools

Azure

Databricks

Snowflake

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.