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Global AI Platform Manager

hitachi · Zurich

Nouveau
Senior 🇬🇧 English
Microsoft AI Services MLOps SRE FinOps Observability Cloud platforms

Description du poste

About the role

HITACHI ENERGY is looking for a Global AI Platform Manager in Zurich to lead the end-to-end operations of its enterprise AI Platform. The role ensures secure, reliable, scalable and cost-efficient services for global business use, partners with cross-functional teams on platform evolution, MLOps, AI security, observability, FinOps and reusable AI capabilities, and leads a multidisciplinary global team of platform operations professionals.

Key responsibilities

  • Lead end-to-end AI Platform Operations, ensuring secure, scalable and reliable enterprise services.
  • Manage and develop a multidisciplinary team across platform engineering, MLOps, SRE, FinOps, security and integration support.
  • Own operational excellence, resource planning, workforce development and budget accountability.
  • Oversee AI platform services, stability, performance, scalability and business continuity.
  • Define and govern service catalogs, SLAs, support models, release processes and operational controls.
  • Drive AI Ops, MLOps, observability, monitoring, incident management and continuous service improvement.
  • Ensure platform security, identity governance, data protection, compliance and policy enforcement.
  • Lead FinOps, including cost optimization, capacity planning and spend transparency.
  • Deliver reusable platform capabilities, deployment support and shared services for development teams.
  • Advise leadership on platform investments, priorities, funding, risk posture and long-term evolution.

Required profile

  • 10+ years of experience in AI/ML platforms, technology operations or enterprise-scale platform management.
  • Proven track record operating enterprise AI platforms with service reliability, SLA compliance and operational excellence.
  • Demonstrated leadership of multidisciplinary technology operations teams in complex global environments.
  • Excellent stakeholder management, communication and organizational skills.

Required skills

  • Strong expertise in Microsoft AI Services, cloud platforms, MLOps, SRE practices, observability and platform reliability.
  • Experience with FinOps, cloud cost management, capacity planning, chargeback models and consumption optimization.
  • Knowledge of platform security, identity and access management and security-by-design.
  • Incident management, release governance, root cause analysis and continuous service improvement.

What we offer

  • Competitive salary and incentives.
  • Well-being and care, paid and unpaid leave, and flexible work options.
  • Benefits supporting financial security, tailored to the country of employment.

Questions fréquentes

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Source : ats:workday

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hitachi

Zurich