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3 дня назад

Enterprise AI Architect (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Enterprise AI Architect (AI/Azure): Defining secure, scalable enterprise AI architecture and delivering production-ready solutions across generative AI, copilots, agents, RAG, machine learning, and intelligent workflows with an accent on Azure AI services, enterprise data integration, and responsible AI governance. Focus on designing agentic and multi-agent architectures, building hybrid manufacturing AI patterns, and establishing LLMOps/MLOps, security, monitoring, and cost governance practices.

Location: Itasca, Illinois, United States

Company

hirify.global Corporation operates in a global manufacturing and technology environment.

What you will do

  • Define the enterprise AI architecture roadmap, reusable standards, solution patterns, and delivery best practices.
  • Architect generative AI, copilots, AI agents, RAG, machine learning, intelligent workflows, and multi-agent solutions with human-in-the-loop controls.
  • Lead Azure AI platform architecture using Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Microsoft Fabric, Copilot Studio, and Power Platform.
  • Integrate AI with trusted enterprise data, ERP, SQL Server applications, manufacturing and OT systems through secure pipelines, APIs, connectors, MCP, and A2A patterns.
  • Partner with business, cybersecurity, infrastructure, data, and development teams while guiding Agile delivery from concept through production and support.
  • Establish responsible AI, security, compliance, LLMOps/MLOps, monitoring, model evaluation, data protection, and AI FinOps practices.

Requirements

  • 5+ years of experience in solution, cloud, or enterprise architecture, including 3+ years designing AI, machine learning, generative AI, or agentic AI solutions.
  • Hands-on experience with Microsoft Azure and Azure AI services.
  • Experience with Azure OpenAI, Azure AI Foundry, Azure Machine Learning, Microsoft Fabric, Copilot Studio, and Power Platform.
  • Knowledge of LLMs, RAG, AI agents, prompt engineering, grounding, evaluation, telemetry, and human-in-the-loop patterns.
  • Ability to select fit-for-purpose AI platforms, models, and tools across Microsoft and non-Microsoft ecosystems.
  • Experience with MCP, A2A, secure APIs, connectors, cloud architecture, enterprise integration, security, identity, governance, and MLOps/LLMOps.
  • Experience leading Agile teams and globally distributed development resources.
  • Strong communication, stakeholder management, collaboration, and practical outcome-focused problem-solving skills.

Nice to have

  • Experience integrating AI with enterprise systems, ERP, manufacturing, or operational data.
  • Microsoft Certified: Azure Solutions Architect Expert.
  • Microsoft Certified: Azure AI Engineer Associate or an equivalent GenAI/ML certification.

Culture & Benefits

  • Full-time role in a global manufacturing and technology environment.
  • Opportunity to establish the enterprise AI playbook and shape responsible AI adoption.
  • Collaboration with onshore and offshore Agile delivery resources.

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