AI Transformation Leader for Global Road Logistics

Kuehne+Nagel; Wrocław; Remote; PLN 170,000 - 260,000; Full time

Benefits offered by this job

Flexible hours

Health insurance

Bike leasing

Canteen

Development programs

Employee discounts

Job summary

Kuehne+Nagel is seeking a senior AI Road Logistics professional to drive AI transformation, addressing complex logistics challenges with cutting-edge AI/ML solutions. You will design pilots, validate MVPs, and partner with global teams to scale impactful AI capabilities.

The role emphasizes governance, responsible AI, and collaboration across ERP/TMS ecosystems, enabling measurable improvements in efficiency and outcomes.

Qualifications

• Bachelor's or Master's in Computer Science, Data Science, Artificial Intelligence, Engineering, or related field, or equivalent practical experience.
• Minimum 5 years delivering AI, ML, automation, or digital transformation solutions from concept to production.

Responsibilities

• Drive Road Logistics' AI transformation by identifying, assessing, and prioritizing opportunities with measurable business value.
• Evaluate complex business challenges and select approaches using Generative AI, ML, automation, analytics, or combinations.
• Design, build, and validate AI-powered proofs of concept, pilots, and MVPs to accelerate adoption.
• Define scalable architectures and ensure integration with existing processes and standards.
• Collaborate with operational teams and stakeholders to translate needs into practical AI solutions.
• Establish governance, quality, and performance frameworks for AI applications.

Skills

AI technologies

Python

Azure AI Services

Azure OpenAI

LangChain

Stakeholder mgmt

Education

CS/DS/AI degree

Equivalent practical experience

Tools

Power Platform

Job description

Kuehne+Nagel is seeking a senior AI Road Logistics professional to drive AI transformation, addressing complex logistics challenges with cutting-edge AI/ML solutions. You will design pilots, validate MVPs, and partner with global teams to scale impactful AI capabilities.

The role emphasizes governance, responsible AI, and collaboration across ERP/TMS ecosystems, enabling measurable improvements in efficiency and outcomes.