Lead AI Architect (d/f/m)
4flow SE • Bad Nauheim, Berlin, Budapest, Dresden, Düsseldorf, Hamburg, Heidelberg, München, Paris, Pilsen, Rüsselsheim, Stuttgart, Zaragoza • Hybrid • Berufserfahrene
Bad Nauheim, Berlin, Budapest, Dresden, Düsseldorf, Hamburg, Heidelberg, München, Paris, Pilsen, Rüsselsheim, Stuttgart, Zaragoza
4flow software develops a range of global standard software products for logistics and transportation planning that can be applied across all industries. The integrated planning approach of our software products ranges from the long-term optimization of network structures to the short-term optimization of transportation capacity utilization. In addition, planning results can be combined with transportation processing and accounting for integrated transportation management. Here, you will work at the intersection of logistics, technology, and compliance, driving product discovery and delivery.
What your new challenge will look like-
Lead the architectural vision and strategic direction for AI and machine learning systems across a distributed team in India and Europe.
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Architect unified, scalable and secure AI systems that supports international data sovereignty and regional privacy regulations.
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Influence 4flows product direction through clear, compelling presentations to management and stakeholders.
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Evaluate and select tools, frameworks and platforms for AI development, deployment and LLMOps.
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Provide technical leadership and mentorship to AI and engineering teams.
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Drive knowledge sharing, contribute best practices and foster continuous learning across teams.
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Continuously explore emerging AI technologies and trends to drive innovation.
To be successful in this position, we believe you should possess the following attributes:
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Around 8 years of experience in system design and architecture, including at least 4 years focused specifically on AI/ML architecture
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Proven expertise in building and scaling agentic AI frameworks (e.g., LangGraph, AutoGen, CrewAI)
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A deep understanding of machine learning, deep learning and LLMOps practices
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Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
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Proficiency in Python and familiar with ML frameworks such as TensorFlow, PyTorch and Hugging Face
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Experience in mentoring cross-functional teams and leading technical projects from concept to production deployment
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Ability to distinguish between AI hype and high-impact business use cases
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Comfortable with the “fail fast” nature of AI research while maintaining a clear path to production
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A clearly defined vision and job security at a company with German roots.
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Exciting international work environment as well as rapid career development opportunities.
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Outstanding opportunities for your individual development (individual training budget and internal trainings).
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Permanent position, competitive base salary, an attractive bonus system, and a great benefits package.
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Flexibility and the opportunity to work remotely.
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Employee Assistance Program for mental health support.
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Sports, team member events and team getaways.
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Free access to organic fruit, cereal, snacks, drinks, and coffee at all 4flow locations.
Dein Bewerbungsprozess bei 4flow
Bewirb dich auf eine unserer Stellen, indem du deine Bewerbung inklusive Lebenslauf und Zeugnissen in unserem Jobportal hochlädst. Unmittelbar danach bekommst du eine Eingangsbestätigung.
Wir sichten deine Unterlagen und geben dir schnellstmöglich eine Rückmeldung. Anschließend wird ein HR-Teammitglied ein Video- oder Telefoninterview mit dir vereinbaren.
Wir wollen mehr über dich erfahren und dein Fachwissen besser einschätzen: In weiterführenden digitalen Interviews mit 4flowern aus deinem künftigen Fachbereich geben wir dir umfassende Einblicke und die Möglichkeit, all deine Fragen zu stellen.
An den darauffolgenden Tagen melden wir uns bei dir und legen dir bestenfalls unser Angebot vor.
Wir freuen uns, dich als neues Teammitglied bei 4flow zu begrüßen! Während deiner Einarbeitung lernst du all unsere Bereiche und die Menschen dahinter kennen. Erfahrene Kolleginnen und Kollegen unterstützen dich dabei, schnell Teil unseres Teams zu werden.