AI Adoption & Digital Engagement Expert

Linde Engineering

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)

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