AI Architect

Intone Inc; United States; Remote; USD 130,000 - 180,000; Part time

Job summary

Intone Inc. is seeking an experienced AI Solutions Architect to lead the strategy, architecture, and design of enterprise AI and Generative AI solutions on a remote, six-month contract.

You will shape technical roadmaps, select platform patterns, and ensure security and governance. You will partner with business stakeholders, engineering, and data teams to translate requirements into scalable AI architectures, drive technical conversations from concept through implementation, mentor teams, and

Qualifications

• Extensive experience as an AI Solutions Architect or similar senior role.
• Strong experience architecting enterprise chatbot and conversational AI solutions.
• Deep understanding of Agentic AI and multi-agent systems, including coordination and tool usage.
• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Experience with RAG architectures and knowledge graphs.

Responsibilities

• Lead strategy, architecture, and design of enterprise AI, Generative AI, and agentic AI solutions.
• Architect sophisticated conversational AI platforms for complex workflows and enterprise integrations.
• Design agentic and multi-agent AI architectures, including agent-to-agent communication and orchestration.
• Design RAG architectures leveraging enterprise data and knowledge graphs.
• Guide ML/Generative AI solutions across enterprise use cases and ensure governance.
• Prototype and validate concepts using Python to demonstrate architectural feasibility.

Skills

AI architecture

Generative AI

LLMs

Stakeholder communication

Python development

GCP

MCP awareness

Tools

Python

GCP

APIs

Knowledge graphs

Job description

We are seeking an experienced AI Solutions Architect to lead the strategy, architecture, and design of complex enterprise AI and Generative AI solutions. This is a 6-month contract role, remote. You will partner closely with business stakeholders, engineering teams, data teams, and leadership to translate business requirements into scalable AI architectures and drive technical conversations from concept through implementation.

Responsibilities

• Lead the strategy, architecture, and technical design of enterprise AI, Generative AI, and Agentic AI solutions.
• Architect sophisticated conversational AI and chatbot platforms capable of supporting complex workflows, reasoning, orchestration, and enterprise integrations.
• Design agentic and multi-agent AI architectures, including agent-to-agent transactions, communication, orchestration, tool usage, and workflow execution.
• Design and implement Retrieval-Augmented Generation (RAG) architectures leveraging enterprise structured and unstructured data.
• Architect solutions utilizing knowledge graphs to improve contextual understanding, reasoning, relationships, and information retrieval.
• Develop and guide machine learning and Generative AI solutions across enterprise use cases.
• Design AI architectures leveraging Model Context Protocol (MCP) to securely connect AI agents and models with enterprise tools, systems, APIs, and data sources.
• Architect and deploy AI/ML solutions within Google Cloud Platform (GCP), leveraging appropriate cloud-native AI, data, compute, and integration services.
• Lead architecture discussions and technical strategy sessions with senior business and technology stakeholders.
• Translate complex business requirements and technical documentation into clear AI solution designs, architecture patterns, roadmaps, and implementation strategies.
• Evaluate AI technologies, models, frameworks, and architectural approaches and provide recommendations based on business and technical requirements.
• Establish best practices around AI scalability, security, governance, performance, reliability, and responsible AI.
• Provide technical leadership and architectural guidance to engineering, data science, machine learning, and platform teams.
• Develop prototypes and reference implementations using Python to validate architectural concepts and AI capabilities.

Qualifications

• Required
  • Extensive experience as an AI Solutions Architect, AI Architect, ML Architect, or similar senior technical architecture role.
  • Strong experience architecting complex enterprise chatbot and conversational AI solutions.
  • Deep understanding of Agentic AI and multi-agent systems, including agent-to-agent (A2A) communication, orchestration, reasoning, tool calling, and autonomous workflows.
  • Strong hands-on experience with Generative AI and Large Language Models (LLMs).
  • Strong experience designing and implementing Retrieval-Augmented Generation (RAG) solutions.
  • Experience with knowledge graphs, semantic relationships, graph-based retrieval, and/or knowledge-driven AI architectures.
  • Strong foundation in machine learning concepts, architectures, and production ML solutions.
  • Experience with Model Context Protocol (MCP) and integrating AI applications and agents with enterprise systems, APIs, tools, and data.
  • Deep experience with Google Cloud Platform (GCP) and building scalable AI/ML solutions in the GCP ecosystem.
  • Strong Python development experience for AI/ML applications, integrations, prototyping, and solution development.
  • Experience working with structured and unstructured enterprise data, including document ingestion, extraction, translation, summarization, and intelligent document processing.
  • Strong understanding of APIs, microservices, cloud architecture, data integration, security, and enterprise application architecture.
  • Ability to communicate complex AI concepts to both technical and non-technical stakeholders.
  • Demonstrated ability to drive AI strategy, influence architectural decisions, and lead technical conversations across multiple teams.