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发布于 2026-10-19 英文原文

人工智能与数字系统架构师

AI & Digital Systems Architect

日立製作所

职种工程 雇用形态全职
工作地点瑞典西曼兰省韦斯特罗斯 薪资面议

职位概要

该职位负责定义和治理将人工智能集成到工业产品、工程工作流和业务流程中所需的架构,连接控制系统、边缘与云平台、工程工具、企业应用及受治理的数据基础,打造可扩展、安全、可复用且可投入生产的AI能力。主要职责包括:定义并治理跨OT、边缘、云、数据和企业环境的端到端AI架构;建立AI架构标准、参考架构、可复用设计模式和最佳实践;与业务、产品和工程相关方合作识别并交付高价值AI用例;推动AI在工程、运营、服务和数字流程中的集成;为工业控制系统、自动化、HMI/SCADA、边缘设备和数字产品设计AI能力;定义数据、知识和平台架构(数据平台、湖仓、向量数据库、知识图谱、数字孪生);建立MLOps和LLMOps实践;确保AI解决方案满足安全、隐私、可靠性、可解释性、合规和负责任AI治理要求;设计连接OT系统、工程工具、企业应用和云服务的集成模式、API和数据流;担任AI与数字系统架构的技术权威并指导团队。应聘要求:计算机科学、人工智能、数据科学、软件工程、电气工程、控制系统或相关领域博士或硕士学位;10年以上软件、系统、数据、AI/ML、工业自动化或关键任务数字平台经验;精通企业和系统架构、软件生命周期管理、数据架构、AI/ML工程和工业自动化;具备从概念、原型到规模化生产的端到端AI解决方案交付经验;熟悉AI/ML、生成式AI、LLM、RAG、知识图谱、代理式AI;深入理解MLOps/LLMOps、模型生命周期管理、评估框架、可观测性、治理和负责任AI;熟悉现代数据架构、云原生和分布式架构;了解OT/IT集成、SCADA、HMI、PLC/DCS、数字孪生及PLM、ERP、仿真、分析和工作流平台;精通Python、现代AI/ML框架及Azure、AWS或GCP;熟悉TOGAF、ArchiMate、C4、网络安全、数据保护、法规合规及MATLAB/Simulink或PSCAD者优先。福利包括集体协议、职业养老金及养老金交换、团体人寿保险、弹性工时与时间银行、混合办公及家庭办公补贴、医疗保健与健康津贴、含牙科和眼镜/隐形眼镜补贴的健康保险、心理支持计划、育儿假补充补偿、培训与教育、瑞典及全球内部职业机会、员工福利门户等。

职位描述

Location: Vaesteras, Vastmanland County, Sweden Job ID: R0136159 Date Posted: 2026-09-22 Company Name: HITACHI ENERGY SWEDEN AB Profession (Job Category): Engineering & Science Job Schedule: Full time Remote: No Job Description: The opportunity We are looking for a highly motivated and ambitious AI & Digital Systems Architect to define and govern the architecture required to integrate artificial intelligence into industrial products, engineering workflows, and business processes. The role connects control systems, edge and cloud platforms, engineering tools, enterprise applications, and governed data foundations to create scalable, secure, reusable, and production-ready AI capabilities. The architect translates business and engineering needs into end-to-end solution blueprints, guides solutions from experimentation to operational deployment, and ensures that model quality, explainability, cybersecurity, human oversight, lifecycle governance, and measurable value are engineered into every AI-enabled capability. How you’ll make an impact 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 technologies such as 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. Your background 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 the integration of 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, as well as PLM, ERP, simulation, analytics, and workflow platforms. Proficiency in Python, modern AI/ML frameworks, and cloud platforms such as Azure, AWS, or GCP; familiarity with TOGAF, ArchiMate, C4, cybersecurity, data protection, regulatory compliance, and engineering tools such as MATLAB/Simulink or PSCAD is considered an advantage. More About Us We believe great work thrives in an environment where people feel genuinely supported and fairly rewarded. Our benefits are designed to create real value for every individual – fueling engagement, performance, and growth. By prioritizing well‑being, we build a workplace where personal and organizational success grow together. Our benefits offering for our roles generally includes: Collective agreement, occupational pension & possibility of salary exchange to pension (for ITP1 and ITP2) Group life insurance and additional insurances. Flex-time and shortening of working hours in time bank Hybrid work & allowances for setting up a workplace at home (in agreement with line manager) Health care and wellness allowance Health insurance incl. dental, spectacles & contact lenses allowance (employee pay 140 sek/month via salary deduction) Psychological support program Supplementary compensation for parental leave Various trainings and education supporting employee development Internal career possibilities both within Sweden and globally Employee Benefit Portal with thousands of discounts and perks The benefits listed above are an excerpt only and may vary depending on job grade, location and contract type. Eligibility is subject to local regulations. Applications will be reviewed on an ongoing basis, so we encourage you to submit your application already today. Questions can be directed to Talent Acquisition Partner Gustaf Hedström, gustaf.hedstrom@hitachienergy.com Union representatives – Sveriges Ingenjörer: Nawzad Rashid, +46 (10) 7389148; Ledarna: Frank Hollstedt, +46 10 7387043; Unionen: Karin Ulvemark, +46 107-38 51 42. Accessibility and reasonable accommodation Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. This is solely for job seekers with disabilities requiring accessibility assistance or an accommodation in the job application process. Messages left for other purposes will not receive a response. Use of Al and automated tools in recruitment As part of our recruitment process, Hitachi Energy uses digital and automated tools, including Al-supported solutions, to assist with activities such as application screening, job matching, and interview scheduling. These tools are designed to support our recruiters and do not replace human decision-making. Candidate data is processed in accordance with applicable data protection and employment laws as well as Hitachi's Global Data Privacy Notice. Background Screening and Security Checks As part of the hiring process, Hitachi Energy conducts pre-employment background checks that may include verification of employment history, education, criminal records, and other relevant information, in accordance with applicable laws. For certain roles—particularly those involving access to sensitive information, financial responsibilities, client data, regulated environments, or security-sensitive functions—additional or more comprehensive background or security screenings may be required. These may include, but are not limited to, enhanced criminal history checks, credit history reviews (where legally permissible), sanctions screening, or other due diligen