Remote AI Architect: Enterprise Conversational & GenAI

Anagh Technologies Inc; United States; Remote; USD 180,000 - 260,000; Full time

Job summary

Anagh Technologies Inc is seeking an AI Architect for remote, long-term engagement. You will lead enterprise AI strategy and design, building scalable conversational AI and agentic systems that integrate with enterprise data, tools, and APIs.

Responsibilities include architecting RAG and knowledge-graph based solutions, employing MCP concepts, and guiding cross-functional teams. Strong Python, GCP experience, and ability to communicate complex AI concepts are essential.

Qualifications

• Extensive experience as an AI Solutions Architect or similar senior role.
• Strong experience architecting complex enterprise chatbot solutions.
• Deep understanding of Agentic AI and multi-agent systems with agent-to-agent communication and orchestration.
• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Experience with Retrieval-Augmented Generation (RAG) and knowledge graphs.

Responsibilities

• Lead strategy, architecture, and design of enterprise AI, Generative AI, and Agentic AI solutions.
• Architect conversational AI/chatbot platforms supporting complex workflows and enterprise integrations.
• Design agentic and multi-agent architectures, including agent-to-agent communication and autonomous workflows.
• Design Retrieval-Augmented Generation architectures using enterprise data.
• Architect solutions leveraging knowledge graphs to improve retrieval, reasoning, and context.
• Provide technical leadership and guide engineering, data science, ML, and platform teams.
• Develop prototypes and reference implementations using Python to validate concepts.

Skills

AI architecture

Conversational AI

Multi-agent systems

Generative AI/LLMs

RAG architectures

Knowledge graphs

Python development

Cloud architecture (GCP)

API/integration design

Technical leadership

Tools

None

Job description

Anagh Technologies Inc is seeking an AI Architect for remote, long-term engagement. You will lead enterprise AI strategy and design, building scalable conversational AI and agentic systems that integrate with enterprise data, tools, and APIs.

Responsibilities include architecting RAG and knowledge-graph based solutions, employing MCP concepts, and guiding cross-functional teams. Strong Python, GCP experience, and ability to communicate complex AI concepts are essential.