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# Enterprise AI Architect

- **Company:** Artmac Soft LLC
- **Location:** Prosper, TX, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Systems, Information Technology Consulting, Cloud Services, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, IT Architecture, Generative AI, Data Management
- **Published:** September 30, 2026
- **Apply:** https://www.careerjet.com/jobad/us224bdc78fb78515fc53a9ddde2d1308c

## About the Role

* 10+ years of experience in enterprise architecture, solution architecture, technology consulting, AI architecture, or related areas.
 * Strong experience developing AI strategies and enterprise AI roadmaps.
 * Strong understanding of enterprise architecture principles and solution design.
 * Experience gathering and translating business requirements into technical architecture.
 * Strong stakeholder management, communication, and consulting skills.
 * Experience designing AI/ML and Generative AI solution architectures.
 * Understanding of LLMs, RAG, AI agents, embeddings, and Generative AI architectures.
 * Experience with AI use-case assessment, prioritization, and technical feasibility analysis.
 * Experience defining reference architectures, architecture standards, and AI technology guidelines.
 * Experience evaluating AI vendors and platforms, including cost, scalability, and ROI considerations.
 * Define and develop enterprise AI strategies aligned with business objectives and technology priorities.
 * Design scalable, secure, and sustainable enterprise AI architectures across applications, data platforms, cloud environments, and business systems.
 * Develop AI adoption roadmaps and define implementation strategies for enterprise AI initiatives.
 * Gather and translate business requirements into AI solution architectures and technical strategies., Bachelor's degree or equivalent combination of education and experience.

## Description

* Work closely with business leaders, technology teams, product teams, and other stakeholders to align AI initiatives with organizational goals.
 * Establish and maintain AI governance, responsible AI, security, data privacy, and compliance frameworks.
 * Evaluate AI technologies, platforms, cloud services, and solution approaches based on business and technical requirements.
 * Lead architecture reviews and provide technical guidance throughout AI solution implementation.