AI Architect

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

Job summary

Anagh Technologies Inc. seeks a Senior-level AI Solutions Architect to lead the strategy, architecture, and design of complex enterprise AI and Generative AI solutions.

This is a high-level architecture and technical leadership role, not a traditional AI developer or ML engineer. The candidate will drive enterprise conversational AI, Agentic AI, multi-agent systems, A2A interactions, RAG, Knowledge Graphs, MCP, and GCP-based AI solutions, and will guide architecture discussions with senior

Qualifications

• Senior-level experience as an AI Architect or ML Architect.
• Strong enterprise AI architecture and governance experience.
• Expertise in conversational AI, agentic AI, multi-agent systems, and A2A integrations.

Responsibilities

• Lead enterprise AI, Generative AI, and Agentic AI architecture strategies.
• Design complex conversational AI and chatbot platforms.
• Define RAG solutions using structured and unstructured data and Knowledge Graphs.

Skills

AI Architect

Generative AI

GCP

Python

Knowledge Graphs

RAG

Agentic AI

Multi-Agent/A2A

Chatbot/Conversational AI

Enterprise AI Architecture

Job description

Assessment: Must complete ROPES Assessment

Position Overview

Senior-level AI Solutions Architect to lead the strategy, architecture, and design of complex enterprise AI and Generative AI solutions. This is a high-level architecture and technical leadership role, not a traditional AI Developer or AI/ML Engineer position.

The ideal candidate will have strong experience architecting enterprise conversational AI, Agentic AI, multi-agent systems, A2A interactions, RAG, Knowledge Graphs, MCP, and GCP-based AI solutions.

Key Responsibilities

• Lead enterprise AI, Generative AI, and Agentic AI architecture and strategy
• Architect complex conversational AI and chatbot platforms
• Design Agentic AI, multi-agent, A2A, orchestration, tool-calling, and autonomous workflow architectures
• Design enterprise RAG solutions using structured and unstructured data
• Architect Knowledge Graph and graph-based AI solutions
• Architect and deploy AI/ML solutions on Google Cloud Platform (GCP)
• Lead architecture discussions with senior business and technology stakeholders
• Translate business requirements into AI architecture, solution designs, roadmaps, and implementation strategies
• Establish best practices for AI security, scalability, governance, performance, reliability, and responsible AI
• Provide architectural guidance to engineering, data science, ML, and platform teams
• Develop prototypes/reference implementations using Python when needed

Required Skills

• Senior experience as an AI Architect, AI Solutions Architect, ML Architect, or equivalent
• Strong enterprise AI architecture experience
• Complex Chatbot / Conversational AI architecture
• Generative AI / LLMs
• Agentic AI / Multi-Agent Systems / A2A
• RAG
• Knowledge Graphs
• Strong GCP experience
• Strong Python
• Enterprise APIs, microservices, cloud architecture, data integration, and security
• Ability to communicate complex AI concepts to technical and non-technical leadership

Ideal Candidate

Looking for a true AI Architect, not a developer or engineer. The candidate should be able to work with leadership to define AI strategy, evaluate technologies, architect complex enterprise solutions, and translate ambiguous business problems into scalable AI architectures and actionable technical roadmaps.

Must Have: GCP, Generative AI, LLMs, Agentic AI, Multi-Agent/A2A, Complex Chatbots, RAG, Knowledge Graphs, ML, MCP, Python, Enterprise AI Architecture, Document AI.