This role will focus on implementing cutting-edge Generative AI and Agentic AI solutions, backed by strong Data Science, Procurement & Supply chain functional expertise.
- Design, build, and deploy Generative AI and Agentic AI solutions tailored for procurement & supply chain use cases (e.g., procure to pay, demand forecasting, scenario planning, anomaly/exception handling, data monitoring).
- Leverage technologies like LLMs, autonomous agents, reinforcement learning, and reasoning frameworks to power decision-making tools.
- Lead the experimentation and operationalization of AI agents across planning, sourcing, logistics, and fulfillment domains.
- Architect scalable data pipelines that ingest, transform, and serve high-quality data for AI/ML workloads.
- Ensure robust data integration from ERP, Procurement & Supply Chain systems.
- Implement Machine Learning Operations best practices to manage AI lifecycle: versioning, monitoring, retraining, and governance.
- Work closely with cross functional IT and global teams to translate business challenges into AI-driven solutions.
- Bring functional understanding across areas like Procurement Spend Analytics, Quality Data & Supply Chain Analytics.
- Drive continuous improvement through digital twin models, predictive analytics, and scenario simulation.
- Be proactive in identifying high-value opportunities for AI within the enterprise procurement & supply chain.
- Present technical concepts and business value to executive stakeholders clearly and persuasively.
Minimum Qualifications
- Bachelor’s or Master’s in Computer Science, Data Science, Operations Research, or a related field.
- 5+ years of experience in data engineering, AI/ML, or analytics roles.
- 4+ years of hands-on experience with Generative AI (e.g., GPT, Claude, open-source LLMs) and Agent-based architectures (LangChain, AutoGen, etc.).
- Strong background in data science: SQL, Spark, Python, Airflow, cloud (AWS/GCP/Azure), and data lakes.
- Deep understanding of procurement & supply chain processes (procure to pay, quality, planning, logistics, manufacturing).
- Familiarity with Machine Learning Operations tools, and AI safety practices.
Preferred Qualifications
- Experience with commercial supply chain platforms
- Exposure to digital twin and simulation platforms.
- Strong storytelling, communication, and stakeholder management skills.
- Experience in collaborating with global teams in a matrixed organization.
At Daimler Truck, we promote diversity and foster an inclusive corporate culture. We value the individual strengths of our employees, as these lead to the best team performance and thus to the success of our company.
Inclusion and Equal opportunities are important to us – regardless of where you come from and who you are. We look forward to receiving applications from people of all cultures and genders, parents, people with disabilities and people from the LGBTIQ+ community.
