Digital Solution Engineer

Job description

About the role The Digital Solution Engineer plays a critical role in accelerating manufacturing digital transformation and Smart Manufacturing (M4.0) deployment across plant operations. This role is responsible for mapping, streamlining, and standardizing shop-floor processes, uncovering operational bottlenecks, and developing practical, end-to-end digital automation solutions. By leveraging Python, Generative AI/LLMs, and low-code platforms, the role drives continuous optimization of operational workflows, rapid tool deployment, and smart manufacturing best practices at the plant level.

Key Responsibilities

Identify operational bottlenecks and pain points, streamlining, optimizing, and standardizing shop-floor processes into clear Process Maps. Design practical, end-to-end digital and intelligent solutions based on standardized processes, evaluating technical pathways including in-house development, MES integration, low-code platforms, or AI technologies. Develop and deploy digital tools using Python, GenAI/LLMs, and low-code platforms to rapidly build automation scripts.

Drive digital project rollouts, collect user feedback, and continuously optimize digital tools and workflows. Drive and support M4.0 deployment across both methodology and practical application at the plant level. Collaborate with plant and corporate IT to ensure strict compliance with data security and system governance standards. Adhere strictly to company EHS policies and procedures by executing equipment maintenance, properly utilizing PPE, and actively participating in EHS training and management activities.

Perform other operational and technical tasks as assigned by the manager.

Qualifications

Bachelor’s degree or above in Industrial Engineering (IE), Automation, Information Systems, Supply Chain/Operations, Smart Manufacturing, Intelligent Manufacturing Engineering, or related disciplines. 2+ years of hands-on experience in manufacturing operations, process engineering, or lean automation within manufacturing companies or industrial software/solutions providers. Strong familiarity with core manufacturing operational logic and shop-floor processes.

Practical hands-on familiarity with Python and GenAI / LLMs. Strong problem-solving skills, analytical mindset, self-driven work ethic, and quick learning agility for emerging technologies. Effective interpersonal skills with demonstrated ability to interact productively with individuals at various levels and across diverse functions.

Passion for Learning & Agility

Genuine enthusiasm and deep curiosity for emerging technologies, with strong learning agility to quickly absorb, master, and turn new tools into practical solutions.

High Energy & Bias for Action

High energy, passion for excellence, and an action-oriented mindset driven to solve tangible operational problems swiftly rather than over-engineering.

Critical Thinking

Strong critical thinking and analytical skills to challenge the status quo, uncover root causes, and design logical solutions.

Language

Good proficiency in English (reading and writing) for technical documentation and business communication.