About the role
Key Responsibility Driving engagement, communication, capability building, and real AI usage to accelerate Linde Engineering’s Digital & AI transformation—while ensuring business value from AI investments. Scope of Work & Strategic Impact Drive AI & Digital adoption across Linde Engineering by being an expert on employee engagement, upskilling, and communication – ensuring consistent and scalable usage of AI across regions. Drive engagement especially for the newly established AI and Data community of practices in Linde Engineering Enable next-generation ways of working by embedding business agility, data thinking, prompting standards, agentic workflows, and AI tools into daily operations. Steer adoption through clear KPIs, insights, and continuous optimization to maximize value realization of AI investments and build sustainable AI capabilities and culture. Translate business needs into AI capability needs and practical AI use cases, acting as the bridge between engineering teams and AI products to accelerate business impact of AI & Digital Key Responsibilities Drive AI adoption and engagement across Linde engineering Support & build scalable upskilling and capability programs Develop and execute communication and change initiatives Translate business needs into AI capability needs and practical AI use cases Enable prompting standards and agentic capabilities incl. building AI agents and agentic workflows Manage and orchestrate LE Impact platform channels (starting with Data & Analytics), ensuring structured request intake, user guidance, and scaled adoption, Ensure data quality of demands and adherence to guidelines, Track adoption, usage, and business impact Profile & Qualifications BE – BTech / BSc degree / BCA in Engineering or Business, Master is a plus 3+ years of relevant Experience in AI/digital adoption, transformation, customer success Strong stakeholder management in global environments Hands-on expertise of LLMs, prompting, agentic capabilities and AI use cases, incl. building and designing agents, agentic workflows and set-ups Ability to bridge business needs with technical solutions, especially in AI agentic and LLM, Microsoft CoPilot etc. Microsoft Agentic Solutions: Agent Builder, GitHub, etc. Excellent communication and facilitation skills Location: Linde Engineering India, Vadodara Close connection to global dX Team set-up (2 adoption experts, 2 AI agentic / prompt experts)