AI Platform Engineering & Operations Manager

Location: Krakow, Lesser Poland, Poland Job ID: R0146499 Date Posted: 2026-10-15 Company Name: HITACHI ENERGY SERVICES SP. Z O.O. Profession (Job Category): IT, Telecom & Internet Job Schedule:  Full time Remote: No Job Description: The opportunity Lead the global Engineering & Operations area for Hitachi Energy’s enterprise AI Platform, driving the design, integration, and operation of secure, scalable cloud-based services. Lead multidisciplinary teams across solution architecture, infrastructure, automation, and operations to ensure reliable platform delivery, technical governance, and seamless integration of AI capabilities across the enterprise. How you will make an impact Provide strategic leadership for the solution architecture, engineering, integration, operations, and long-term evolution of the enterprise AI Platform. Establish and govern practical platform architecture principles, technology standards, integration patterns, and operational frameworks. Own the end-to-end lifecycle and operational accountability of enterprise AI platform services, capabilities, and model ecosystems. Drive platform reliability, scalability, performance, resilience, and operational excellence across a global environment. Champion automation, Infrastructure as Code, observability, and modern engineering practices to ensure efficient and sustainable platform operations. Define and enforce platform security, governance, access control, and compliance standards in partnership with key enterprise stakeholders. Lead the adoption and maturity of DevOps, MLOps, LLMOps, and AIOps capabilities to enable secure and scalable AI delivery. Oversee service management, incident response, change governance, release management, and operational risk mitigation. Build, lead, and develop a high-performing global organization spanning platform solution architecture, cloud engineering, integration, automation, and operations. Partner with senior business, technology, cybersecurity, and vendor stakeholders to shape platform strategy, accelerate innovation, and continuously enhance enterprise AI capabilities. Your background 10+ years of experience in cloud platforms, solution architecture, platform engineering, infrastructure, or enterprise operations. Proven leadership experience managing global platform architecture, integration, infrastructure, or operations teams. Strong expertise in designing and operating enterprise platforms leveraging PaaS, SaaS, IaaS, APIs, and cloud-native services. Deep knowledge of Azure technologies, AI platforms, API management, Infrastructure as Code, automation, and observability solutions. Experience with MLOps, LLMOps, model lifecycle management, AI workload operations, and runtime governance. Proven track record of operating business-critical platforms with high standards for security, reliability, scalability, and performance.