AI Engineer

It's more than a job

In this IT role, you will manage, develop, and support the technology infrastructure that powers Kuehne+Nagel’s global systems and operations. This contribution is vital to making both special and ordinary moments in the lives of people a reality. In fact, your work enables our teams to deliver fresh fruit, time-sensitive healthcare products and much more to people all around the world. Working in IT at Kuehne+Nagel contributes to more than we imagine.

‎

As Lead AI Engineer – AI/Automation Business Partner, you bridge business strategy and technology. You work closely with senior stakeholders to identify opportunities, define AI and automation roadmaps, and deliver secure, scalable solutions using Microsoft technologies. Combining strategic consulting with hands-on technical expertise, you guide initiatives from idea to production and help scale AI adoption across Kuehne+Nagel.

How you create impact

• Partner with senior leaders to identify and drive AI and automation opportunities.
• Lead workshops and translate business needs into roadmaps, architectures, and delivery plans.
• Define and communicate end-to-end architectures for AI, automation, integration, and security.
• Design and deliver solutions using Microsoft Power Platform, Copilot Studio, Azure AI, and Azure OpenAI.
• Extend low-code solutions with custom development, APIs, integrations, and reusable frameworks.
• Establish engineering, DevOps, governance, security, and Responsible AI standards.
• Lead prototypes, production implementations, and technical decision-making.
• Mentor engineers and build scalable patterns, frameworks, and best practices.

What we would like you to bring

• Degree in Computer Science, AI, Software Engineering, Information Systems, or similar experience.
• Extensive experience in AI engineering, solution architecture, automation, or technology consulting.
• Strong consulting skills with senior stakeholders and executive-level communication experience.
• Deep expertise in Generative AI, LLMs, agentic systems, RAG, AI security, and Responsible AI.
• Hands-on experience with Microsoft Power Platform, Copilot Studio, Azure AI, Azure OpenAI, and cloud-native architectures.
• Strong software engineering and DevOps background (e.g., C#, .NET, Python, JavaScript/TypeScript, Git, CI/CD).
• Proven ability to connect business strategy with technology and deliver measurable outcomes.
• Fluent German and English; Microsoft certifications and logistics industry experience are a plus.

What's in it for you