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Hitachi Energy

Global electrical transmission and grid modernization

Solution Architect

AI & Machine LearningConfirmed live in the last 24 hours
Full-timeKarnataka, IndiaNo salary listedRemote

About the Job

Requirements

  • A bachelor's or master's degree in computer science, engineering, data science, or a related field.
  • At least 8 years of experience in technology roles, including significant experience in AI/ML solution architecture and enterprise platform design.
  • A proven track record of architecting and delivering complex AI solutions in enterprise environments.
  • Strong expertise in Python, AI/ML frameworks, data architecture, APIs, and system integration patterns.
  • Hands-on experience with cloud platforms such as Azure, AWS, or GCP, MLOps, containerization, and scalable deployment architectures.
  • A strong understanding of security, privacy, governance, and responsible AI principles in solution design.
  • Experience working in a global, cross-functional environment with distributed delivery teams.
  • Certifications in cloud architecture, AI/ML, data engineering, or enterprise architecture frameworks.
  • Experience defining reusable reference architectures, governance models, and technology standards for AI adoption at scale.
  • Strong communication and stakeholder management skills, with the ability to influence technical and business decisions.

Responsibilities

  • Define end-to-end architecture for AI solutions across domains such as generative AI, predictive analytics, natural language processing, and computer vision.
  • Develop architecture blueprints, reference patterns, and standards for scalable, secure, and reusable AI platforms.
  • Ensure alignment between AI solution architecture, enterprise architecture principles, and business objectives.
  • Lead architecture decisions covering data pipelines, model integration, API design, orchestration, deployment patterns, and observability.
  • Establish design governance, conduct architecture reviews, and ensure compliance with security, privacy, and responsible AI requirements.
  • Evaluate and recommend appropriate tools, frameworks, cloud services, and integration patterns for AI initiatives.
  • Partner with product, engineering, data, and business teams to translate business needs into architecture designs and implementation roadmaps.
  • Provide architectural guidance to solution architects, engineers, and project teams throughout the delivery lifecycle.
  • Present architecture options, trade-offs, and target-state roadmaps to senior leadership and non-technical stakeholders.
  • Guide best practices for AI/ML engineering, MLOps, model lifecycle management, and platform scalability.
  • Drive adoption of reusable architectural components, design patterns, and engineering standards across AI programs.
  • Stay current with emerging AI technologies and assess their applicability to enterprise use cases and platform evolution.
  • Ensure compliance with applicable external and internal regulations, procedures, and guidelines.
  • Take responsibility for personal actions while caring for colleagues and the business, in keeping with Hitachi Energy's safety and integrity values.

Desired Qualifications

  • Exposure to enterprise AI applications in sectors such as energy, manufacturing, utilities, healthcare, finance, or retail.

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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