Director, Core Infrastructure Engineering, AI Powered Digital Twin Platform

Oracle

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Work type
On-site
Location
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Posted
147 days ago
Freshness
Confirmed live today

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Similar $200k
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This listing doesn't post a salary. Most similar roles pay $174,600–$226,350.

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Listed pay typically runs $102,300–$234,600 across 790 roles with salary data.

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TL;DR · Director, Core Infrastructure Engineering, AI Powered Digital Twin Platform

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The Director, Core Infrastructure Engineering - AI Powered Digital Twin Platform will lead the engineering organization responsible for building an AI-powered Digital Twin platform. In this leadership role, the individual will oversee the development of a system that integrates real-time operational data with digital models, simulation, graph technologies, and AI agents. The primary objective is to create a platform that enables customers to understand complex systems, predict outcomes, investigate issues, and automate actions safely. The work involves managing the technical infrastructure required to support these sophisticated functionalities. Key technologies and core competencies mentioned include graph technologies, AI agents, and simulation tools. The role focuses on solving the technical problem of modeling complex systems through the fusion of real-time data and predictive AI capabilities.

Skills

AI Digital Twin Graph Technologies Simulation AI Agents Software Development

What you'll do

  • Lead the engineering organization responsible for building an AI-powered Digital Twin platform.
  • Integrate real-time operational data with digital models and simulation technologies.
  • Implement graph technologies and AI agents into the platform architecture.
  • Develop tools to help customers understand and predict outcomes in complex systems.
  • Build features to investigate system issues and automate actions safely.
  • Oversee the technical development of the end-to-end Digital Twin solution.

What we're looking for

  • Experience leading an engineering organization.
  • Experience building AI-powered platforms.
  • Experience with real-time operational data and digital models.
  • Experience with simulation and graph technologies.
  • Experience with AI agents.

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