Digital Solution Engineer
At a glance
Mid-level Solutions & Sales Engineering role at Avery Dennison. 苏州 · full-time.
Pay not stated Solutions & Sales Engineering salary
growthroles summary, based on the employer's posting.
What you'll do
- Map plant-floor workflows, find operational pain points, then simplify and standardize those processes
- Choose practical end-to-end solutions, weighing Python development, MES links, low-code tools and AI
- Build automation tools with Python, generative AI and low-code platforms, then gather feedback and improve them
- Support smart manufacturing rollout at plants and coordinate with IT on security and system governance
- Follow EHS procedures, including equipment upkeep, protective gear use and required training
What you bring
- A bachelor’s degree or higher in industrial engineering, automation or another listed related discipline
- At least two years in manufacturing operations, process engineering or lean automation
- Hands-on knowledge of Python and generative AI or large language models, plus shop-floor process understanding
- You can read and write English for technical documents and business communication
Who this fits
This mid-level, on-site Suzhou role suits someone who can turn manufacturing workflow problems into practical digital tools and work across plant and IT teams. You’ll need to follow plant EHS procedures and bring an action-oriented, analytical approach to solving operational issues.
From the employer
Avery Dennison Corporation (NYSE: AVY) is a global materials science and digital identification solutions company. We are Making Possible™ products and solutions that help advance the industries we serve, providing branding and information solutions that optimize labor and supply chain efficiency, reduce waste and mitigate loss, advance sustainability, circularity and transparency and better connect brands and consumers. We design and develop labeling and functional materials, radio-frequency identification (RFID) inlays and tags, software applications that connect the physical and digital and offerings that enhance branded packaging and carry or display information that improves the customer experience. Serving industries worldwide — including home and personal care, apparel, general retail, e-commerce, logistics, food and grocery, pharmaceuticals and automotive — we employ approximately 35,000 employees in more than 50 countries. Our reported sales in 2025 were $8.9 billion. Learn more at www.averydennison.com. AVERY DENNISON IS PROUD TO BE CERTIFIED GREAT PLACE TO WORK IN AUSTRALIA, BANGLADESH, CHINA, INDIA, INDONESIA, MALAYSIA, SINGAPORE, THAILAND AND VIETNAM, AND RECOGNIZED AS ONE OF THE BEST COMPANIES TO WORK FOR IN ASIA IN GREATER CHINA AND VIETNAM.
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.
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.
Avery Dennison is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or any other protected status.