Pfeiffer Vacuum+Fab Solutions

Global Production AI Transformation Lead

Pfeiffer Vacuum+Fab Solutions  •  Apahida, RO (Onsite)  •  2 days ago
Apply
AI can make mistakes so check important info. Chat history is never stored.

Job Description

Since 1890, Pfeiffer Vacuum has been shaping the vacuum industry with groundbreaking innovations. Every day, over 4,000 employees at 10 production sites and more than 20 sales and service companies worldwide give everything for our customers. With our comprehensive portfolio, we offer solutions for all types of vacuum applications. We are not only driven by highest quality standards. It is our vision to be the most sustainable and fastest growing market player in our industry to drive technology for a sustainable future.

Apply now and make our success story yours too!

Main Tasks and Responsibilities

Expected of all employees

Apply the Busch Value System in day-to-day work: fact-based communication, team spirit, commitment, trust and respect, and consistent action in line with company objectives.

Comply with safety rules and report any risk to people or property without delay.

Act responsibly to limit environmental impact and use resources carefully.

AI Strategy and Use Case Portfolio

Define and continuously develop the global AI roadmap for Production.

Identify, assess and prioritize AI use cases in production, assembly, quality, intralogistics and production-related functions.

Systematically assess business value, data availability, technical feasibility, integration effort, security, governance, resource requirements and the operating model.

AI Solutions and Rollout

Guide AI solutions and AI agents from problem definition through prototyping and validation to productive deployment.

Design, develop and validate AI solutions and AI agents hands-on using modern AI platforms and development frameworks, creating solutions that can be scaled across the global production network.

Ensure scalable solution approaches, reusability and a reliable transition from pilot to operation.

Coordinate technology and implementation partners and prepare decisions transparently.

Enablement, Standards and Governance

Enable Local Digitalization Experts and Key Users through workshops, guidelines, training and practical support.

Establish standards for Responsible AI, documentation, quality assurance, lifecycle management and reuse.

Make adoption, progress and realized business value transparent through suitable KPIs.

Cross-functional Collaboration

Act as the connecting interface between Production, IT, Security, Data Engineering and external technology partners.

Promote knowledge and best-practice sharing across sites and assess relevant market and technology trends for the production network.

Profile

Functional Competencies

  • Experience in ML, deep learning, Python, TensorFlow, Generative AI, ideally applied in an industrial environment.
  • Experience with cloud workflows, e.g. on AWS, Azure or Google Cloud
  • Experience with programming (Python), LLM Integration, object-oriented and functional design principles
  • Good understanding of modern AI technologies, agentic solutions, cloud platforms, Responsible AI and

governance principles.

Methodological Competencies

  • Translate production requirements into viable technical solutions, prioritized roadmaps and measurable business

value.

  • Verify that expected benefits are delivered and embed learnings for future projects
  • Select and apply Agile, Scrum, or Waterfall approaches based on context and constraints.

Leadership and Interpersonal Competencies

  • Ability to provide functional leadership and to convince and enable different target groups.
  • Drive hands-on change on the shop floor and influence without formal authority
  • Clear communication, strong collaboration and enthusiasm for building an international community.
  • Build trust and gain buy-in across hierarchies and regions.
  • Take responsibility for outcomes and maintain integrity in handling sensitive information

Other Requirements

  • University degree, for example in Computer Science, Data Science, Engineering, Business Information Systems or

a comparable field

  • Excellent English skills; additional languages are an advantage.
  • Willingness to travel to our global production sites.

What the role offers

  • High visibility within the global digitalization program and direct scope to shape the future setup.
  • International collaboration with Production, IT, local digitalization experts and technology partners.
  • The opportunity to shape AI solutions from concept through global deployment.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

Requisition ID: 3549

Pfeiffer Vacuum+Fab Solutions

About Pfeiffer Vacuum+Fab Solutions

The Busch Group is one of the world’s largest manufacturers of vacuum pumps, vacuum systems, blowers, compressors and gas abatement systems. Under its umbrella, the group houses two well-known brands: Busch Vacuum Solutions and Pfeiffer Vacuum+Fab Solutions.

The extensive product and service portfolio includes solutions for vacuum, overpressure and abatement applications in all industries, such as semiconductors, food, analytics, chemicals and plastics. This also includes the design and construction of tailor-made vacuum systems and a worldwide service network.

The Busch Group is a family business that is managed by the Busch family. More than 8,000 employees in 44 countries worldwide work for the group. Busch is headquartered in Maulburg, Baden-Württemberg, in the tri-country region of Germany, France and Switzerland.

The Busch Group manufactures in its 19 own production plants in China, the Czech Republic, France, Germany, India, Romania, South Korea, Switzerland, the United Kingdom, the USA and Vietnam.

The Busch Group has an annual consolidated revenue of close to 2 billion Euro.

Industry
Manufacturing & Production
Company Size
1,001-5,000 employees
Headquarters
Asslar, DE
Year Founded
Unknown
Social Media