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Hitachi Energy

Global electrical transmission and grid modernization

Artificial Intelligence Lead Engineer

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeNo salary listed

About the Job

Requirements

  • Proven experience designing and deploying artificial intelligence solutions in enterprise environments, with particular depth in generative artificial intelligence, large language models, natural language processing, and document intelligence.
  • Familiarity with the full artificial intelligence lifecycle, including data pipelines, model development, machine learning operations practices, and deployment on modern cloud platforms.
  • Exposure to engineering-heavy domains such as power systems, mechanical, electrical, controls, automation, or similar industrial contexts.
  • Familiarity with tools and enterprise systems such as product lifecycle management, enterprise resource planning, computer-aided design/computer-aided engineering, requirements management, or large-scale document management environments.
  • Demonstrated ability to collaborate across engineering, information technology, and leadership teams, translating technical artificial intelligence concepts into practical value for non-artificial-intelligence specialists.
  • Comfort operating in ambiguous environments, establishing new capabilities, shaping strategy, and driving adoption of emerging technologies across organizations.

Responsibilities

  • Establish the artificial intelligence Center of Competence from the ground up by defining its mission, operating model, governance framework, and technical standards for responsible artificial intelligence adoption.
  • Build trusted partnerships with information technology, cybersecurity, legal, and engineering leadership to ensure scalable, secure, and compliant artificial intelligence deployment across disciplines.
  • Identify and execute two to three high-impact artificial intelligence pilots, such as engineering documentation automation, design knowledge retrieval, and controls or code assistance, that reduce engineering cycle time, improve quality, and free up expert capacity.
  • Work hands-on with civil, mechanical, electrical, controls, and software teams to understand workflows, tools, and constraints, and turn real-world challenges into practical artificial intelligence applications.
  • Enable structured, governed, and discoverable engineering data by advancing data ownership, metadata standards, lineage tracking, and access control.
  • Act as a trusted advisor to engineering leadership, articulating artificial intelligence opportunities, risks, and return on investment while personally leading prototyping, experimentation, and early deployment in enterprise environments.
  • Define the roadmap beyond initial pilots, including artificial-intelligence-assisted design reviews, engineering copilots, and cross-disciplinary knowledge systems.

About the Company

Hitachi Energy

Global electrical transmission and grid modernization

Hitachi Energy provides systems and solutions for transmitting and distributing electricity. It sells and implements equipment such as transformers, high‑voltage gear, and grid automation tools that help move power from generation sites to homes and businesses. Its offerings include hardware and software that monitor, control, and optimize electrical grids, with AI, data analytics, and automation to improve efficiency and reliability. The company differentiates itself by combining its global engineering footprint with advanced digital technologies and a broad portfolio that covers transmission, distribution, and grid optimization, backed by a presence in more than 140 countries and a workforce of over 40,000. Its goal is to support a cleaner, more flexible, and carbon‑neutral energy future by modernizing infrastructure and integrating renewable energy sources.

Company size
10,001+
Company stage
Grant
Total funding
$22M
Headquarters
Zurich, Switzerland
Founded
1900

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