AI Solutions Architect – Remote – W2

Luzon Technologies Inc.; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Luzon Technologies Inc. is seeking an experienced AI Solutions Architect to design and lead enterprise-scale AI and Generative AI initiatives.

The role focuses on building complex conversational AI, multi-agent systems, RAG architectures, knowledge graphs, MCP, and scalable AI infrastructure in a remote setting. You will drive AI strategy, architecture patterns, and roadmaps, and lead architecture discussions with senior business and technology stakeholders.

Qualifications

• Experience in enterprise AI architecture and leading large-scale AI initiatives.
• Proven ability to design and implement generative AI solutions across enterprise environments.
• Strong background in conversational AI, multi-agent systems and A2A interactions.
• Hands-on experience with RAG architectures, knowledge graphs, MCP and model context protocols.
• Extensive GCP, ML/LLM expertise, and Python programming proficiency.
• Experience with enterprise document processing and intelligent document handling.
• Ability to drive architecture discussions with senior business/tech stakeholders and define AI strategy.

Responsibilities

• Design and lead enterprise-scale AI and Generative AI solutions.
• Guide architecture discussions with senior stakeholders and set implementation roadmaps.
• Define patterns and roadmaps for AI adoption across the organization.
• Lead integration of RAG, knowledge graphs, MCP, and multi-agent architectures into products.

Skills

Enterprise AI architecture

Generative AI

Conversational AI

Multi-Agent Systems

A2A interactions

RAG architecture

Knowledge Graphs

Model Context Protocol

GCP

LLMs

Machine Learning

Python

Document AI

Stakeholder leadership

AI strategy

Job description

AI Solutions Architect – Remote – W2

We’re looking for an experienced AI Solutions Architect to design and lead enterprise-scale AI and Generative AI solutions.

Key Requirements:

• Enterprise AI / Generative AI Architecture
• Complex Conversational AI / Chatbot architecture
• Agentic AI, Multi-Agent Systems, and A2A interactions
• RAG architecture and implementation
• Knowledge Graphs
• Model Context Protocol (MCP)
• Strong GCP experience
• LLMs and Machine Learning
• Strong Python experience
• Enterprise Document AI / Intelligent Document Processing
• Ability to lead architecture discussions with senior business and technology stakeholders
• Experience defining AI strategy, architecture patterns, roadmaps, and implementation approaches