Head of AI Platform

ZEISS Group
München, Germany
1 day ago
Apply on zeissgroup.wd3.myworkdayjobs.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Working hours
Regular working hours
Languages
English, German

Tech stack

Artificial Intelligence AI Platforms Information Technology

Job description

Join us as Head of AI Platform (f/m/x) and be part of the ZDP - Digital Technology Accelerator unit. You will work on accelerating high priority emerging digital technologies like agentic AI @ speed and ensure their impact on your team within the ZEISS group @ scale. You will support ZDP in scaling its business with the ZEISS business units, in executing it more effectively and in staying on top of digital innovation.

Your role

  • You will be accountable for architecting, delivering, and continuously evolving ZEISS’s enterprise AI platform, a secure, scalable, and compliant foundation that enables multimillion efficiencies and revenue uplift in AI-driven business value across the organization

  • You will drive self-service capabilities that accelerate AI development cycles while building foundational infrastructure for emerging agentic AI use cases with appropriate guardrails and observability

  • Through strategic technology decisions, operational excellence, and relentless focus on reliability, this leader transforms platform capabilities into competitive advantages for ZEISS’s AI initiatives

  • Ultimately, our Head of AI Platform (f/m/x) serves as the technical cornerstone enabling ZEISS to scale AI innovation securely and efficiently across all Business Units

Requirements

  • University degree in a technical subject

  • 8+ years of professional experience in software- and enterprise architecture

  • Min. 2 years of experience working on AI solutions and platforms

  • Proven ability to shape strategy, align diverse stakeholders, and drive architectural and platform decisions in a complex enterprise environment

  • Demonstrated ability to drive organizational strategy and align cross-functional teams in a complex, multi-cultural environment

  • Proven leadership experience with distributed or international engineering teams

  • Strong ability to influence, affect change, and drive decision-making at all organizational levels, from CxO to operational teams

  • Strong product mindset with a focus on developer advocacy, ensuring the platform is user-friendly, efficient, and supports diverse technical requirements

  • Exceptional communication and presentation skills, with the ability to translate complex technical concepts into actionable insights for both technical and non-technical stakeholders

  • Proven project management expertise to ensure the successful execution of complex, cross-functional AI platform initiatives

  • Business proficiency in German and English, enabling effective collaboration across global teams and diverse cultural contexts

About the company

Shape the enterprise AI platform of a global technology leader. Develop exciting solutions in a diverse and stable work environment that’s focused on the future. Join us in a modern work environment with an open and inspiring culture and colleagues.

The ZEISS Digital Partners unit based in Germany, Hungary, India and China - is developing and implementing cutting-edge digital and data solutions jointly with the Segments and Markets of the ZEISS Group.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on zeissgroup.wd3.myworkdayjobs.com
Prepare application

Inside ZEISS Group

Culture, engineering, and team stories

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:36 min

Choosing between managed AI platforms and custom governance

Péter Farkas Péter Farkas · Europe 2026 Virtual

3:46 min

Core terminology and audiences for interpretable artificial intelligence

Karol Przystalski · LIVE

42 sec

Energy forecasts and resource demands of information technology

Marjolein Pordon · LIVE

2:32 min

Introduction to Zeiss and industrial manufacturing hardware

Andreas Kaldun Andreas Kaldun

3:21 min

Automating complete quality assurance pipelines with artificial intelligence

Evelyn Haslinger · LIVE

Videos

See all

Related articles

See all