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Hitachi

Diversified tech conglomerate delivering digital solutions

AI & Digital Systems Architect

AI & Machine LearningConfirmed live in the last 24 hours
Full-timeVästerås, SwedenNo salary listed

About the Job

Requirements

  • PhD or Master's degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Electrical Engineering, Control Systems, or a related field.
  • 10+ years of experience in software, systems, data, AI/ML, industrial automation, or other mission-critical digital platforms.
  • Strong expertise in enterprise and systems architecture, software lifecycle management, data architectures, AI/ML engineering, and industrial automation.
  • Proven track record of defining end-to-end architectures and delivering AI-enabled solutions from concept and prototyping to scalable production environments.
  • Hands-on experience with AI/ML, Generative AI, LLMs, RAG, knowledge graphs, agentic AI, and integrating AI capabilities into applications, platforms, and industrial products.
  • Deep understanding of AI engineering practices including MLOps/LLMOps, model lifecycle management, evaluation frameworks, observability, governance, explainability, and responsible AI.
  • Strong background in modern data architectures including data products, pipelines, lakehouse and streaming solutions, time-series data, vector databases, data governance, and lineage.
  • Experience with cloud-native and distributed architectures, including microservices, APIs, event-driven systems, containers, orchestration, and hybrid or edge deployments.
  • Knowledge of industrial and enterprise environments, including OT/IT integration, SCADA, HMI, PLC/DCS, digital twins, PLM, ERP, simulation, analytics, and workflow platforms.
  • Proficiency in Python, modern AI/ML frameworks, and cloud platforms such as Azure, AWS, or GCP.

Responsibilities

  • Define and govern end-to-end architectures for AI-enabled products, digital solutions, and engineering workflows across OT, edge, cloud, data, and enterprise environments.
  • Establish AI architecture standards, reference architectures, reusable design patterns, and best practices for scalable and maintainable solutions.
  • Partner with business, product, and engineering stakeholders to identify, prioritize, and deliver high-value AI use cases that create measurable business impact.
  • Drive the integration of AI across engineering, operations, service, and digital processes, from concept and proof of concept through industrialization and adoption.
  • Architect AI-enabled capabilities for industrial control systems, automation solutions, HMI/SCADA applications, edge devices, and digital products.
  • Define data, knowledge, and platform architectures leveraging data platforms, lakehouses, vector databases, knowledge graphs, and digital twins.
  • Establish MLOps and LLMOps practices covering deployment, monitoring, testing, evaluation, lifecycle management, and continuous improvement of AI solutions.
  • Ensure AI solutions meet requirements for security, privacy, reliability, explainability, compliance, and responsible AI governance.
  • Design scalable integration patterns, APIs, and data flows connecting OT systems, engineering tools, enterprise applications, and cloud services.
  • Act as the technical authority for AI and digital systems architecture, mentoring teams and aligning strategy across software, data, cloud, cybersecurity, and business functions.

Desired Qualifications

  • Familiarity with TOGAF, ArchiMate, C4, cybersecurity, data protection, regulatory compliance, or engineering tools such as MATLAB/Simulink or PSCAD.

About the Company

Hitachi

Diversified tech conglomerate delivering digital solutions

Hitachi is a global conglomerate operating in energy, digital solutions, home appliances, and infrastructure to support governments, businesses, and consumers. Its offerings turn data into actionable insights through digital transformation services and Hitachi Energy’s renewable energy and grid solutions. It differentiates itself with an integrated portfolio that combines hardware, software, and services and a emphasis on societal impact and sustainability. Its goal is to build a sustainable society by using technology and data to improve energy efficiency, infrastructure resilience, and quality of life.

Company size
10,001+
Company stage
IPO
Headquarters
Tokyo, Japan
Founded
1910

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