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5 дней назад

Global Engineering AI Solutions Manager (AI)

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
Global Engineering AI Solutions Manager (AI): Designing and deploying agentic AI solutions across Oracle SCM and PLM to automate product lifecycle processes, improve operational efficiency, and support data-driven decisions with an accent on LLM orchestration, enterprise integrations, and responsible AI governance. Focus on building multi-step AI agents, implementing RAG frameworks, and securing reliable, scalable workflows across global engineering and supply chain systems.

Location: Westerville, Ohio, United States

Company

hirify.global provides hardware, software, analytics, and services supporting data centers, communication networks, and commercial and industrial infrastructure.

What you will do

  • Lead the design, configuration, deployment, and continuous improvement of AI agents supporting PLM and supply chain processes.
  • Develop LLM prompt orchestration, agent workflows, and RAG solutions using structured and unstructured enterprise data.
  • Implement and integrate Oracle Cloud, SCM, PLM, APIs, and third-party enterprise applications for end-to-end product lifecycle connectivity.
  • Translate product lifecycle and business requirements into scalable AI-enabled solutions.
  • Monitor agent reliability, accuracy, and performance while troubleshooting and optimizing AI-enabled processes.
  • Establish governance, security, compliance, access controls, and human-in-the-loop operating models in collaboration with engineering, product, supply chain, IT, and business stakeholders.

Requirements

  • Bachelor’s degree in information technology, process management, or a related field, or equivalent experience.
  • 15+ years of experience with Oracle Fusion and enterprise systems, including integrations and customizations.
  • Experience with REST APIs, SOAP services, and enterprise integration technologies.
  • Understanding of generative AI, LLMs, prompt engineering, RAG, agent frameworks, and AI limitations such as hallucinations.
  • Knowledge of enterprise AI security, data governance, privacy, compliance, role-based access controls, approval workflows, and human-in-the-loop governance.
  • Strong communication, judgment, ownership, collaboration, change management, and results-oriented leadership skills.

Nice to have

  • Experience with Oracle AI Agent Studio or similar enterprise AI platforms.
  • Experience building AI agents and exposure to Oracle Product Development Cloud.

Culture & Benefits

  • Values include safety, integrity, respect, teamwork, and inclusion.
  • Strategic priorities include innovation, operational excellence, customer focus, and high performance.
  • Work involves collaboration across a globally distributed organization and multiple business functions.
  • Emphasis is placed on continuous improvement, transparent communication, professional integrity, and employee development.

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