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Role at a glance
You will
Driving engagement, communication, capability building, and real AI usage to accelerate Linde Engineering’s Digital & AI…
Scope of Work & Strategic Impact
Drive AI & Digital adoption across Linde Engineering by being an expert on employee engagement, upskilling, and communication – ensuring…
Experience
3+ years
Education
Bachelor's degree (preferred)
Job description
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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Questions you may be asked
Tell me about yourself.
Explain the four pillars of object-oriented programming.
What is the difference between a process and a thread?
