Hitachi Energy is seeking a highly skilled and visionary AI Technology Lead to serve as the authority for AI technologies. In this role, you will shape the technical direction of AI adoption, ensuring that solutions are architected responsibly, aligned with governance frameworks, and integrated into our global Azure landscape.You will act as a trusted advisor and thought leader, bridging business and technology, influencing enterprise strategy, and ensuring AI becomes a scalable, secure, and value-generating capability across the organization. A critical expectation of this role is to stay at the forefront of AI advancements, experiment with emerging technologies, and productize them for enterprise readiness.This opportunity to develop AI landscape and AI strategyHow You Will Make An ImpactStrategic AI Leadership: Define and evolve the enterprise technical strategy for AI adoption on Azure. Act as the primary technical authority for AI across IT and business domains. Provide leadership and guidance to architects, engineers, and stakeholdersInnovation & Technology Scouting: Continuously monitor the AI technology landscape and identify opportunities relevant to the enterprise. Experiment with new AI tools, frameworks, and methods to assess feasibility and value. Translate validated innovations into productized, enterprise-ready capabilities.Enterprise Integration & Technical Alignment: Align AI technologies with enterprise architecture, data platforms, and cloud strategy on Azure. Collaborate with global business and IT stakeholders to translate strategic priorities into sustainable AI capabilities. Contribute to technical roadmaps, reference architectures, and cross-domain frameworks.Technical Excellence: Maintain hands-on expertise in AI/ML engineering, MLOps, and deployment practices to validate and guide enterprise standards. Evaluate Azure-native AI/ML services, tools, and pipelines for scalability and reliability. Promote technical best practices, code quality, and architecture reviews as a thought leader.Your BackgroundEducation & experience: Bachelor’s or Master’s degree in Computer Science, Engineering, or related field. 12+ years of experience in technical roles, with at least 5 years focused on AI/ML solution development in enterprise contextsTech experience: Recognized expertise in setting technical direction and guiding large-scale AI adoption on Azure. Strong programming background in Python and proficiency with AI/ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Demonstrated experience with Azure AI/ML services (Azure Machine Learning, Cognitive Services, Azure OpenAI, etc.) and MLOps.Soft skills: Excellent communication and influencing skills across technical and executive audiences.More About Hitachi EnergyHitachi Energy is a global technology leader that is advancing a sustainable energy future for all. We serve customers in the utility, industry and infrastructure sectors with innovative solutions and services across the value chain. Together with customers and partners, we pioneer technologies and enable the digital transformation required to accelerate the energy transition towards a carbon-neutral future.We employ more than 40,000 people in 90 countries who work with purpose every day and use their different backgrounds to challenge the status quo.We welcome you to apply today and be part of a global team that appreciates a simple truth: Diversity + Collaboration = Great Innovation.We OfferContract of employmentWork model: remote/ hybrid - depend on locationBenefits: We pride ourselves on offering a holistic range of competitive benefits to support your financial, physical and mental wellbeing and personal development. We want you to truly thrive with us, in work and out. We can provide more information during the recruitment process.Growth possibility: training budget & training platform, changing role within organizationPossibility to gain experience in international environmentPossibility to work for industry leader in green energy solutionRecruitment ProcessReview application - please apply in EnglishScreening with recruiterMeeting with manager/ team- max 2Offer
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