Trainee AI Engineering & Enablement; d​/f​/m​/x Mercedes-Benz AG, Stuttgart

Tasks

Do you want to unlock your full potential and help shape the transformation at Mercedes-Benz? Then our international graduate program “Inspire – Your Journey of Growth” offers a unique opportunity to contribute, learn, and grow.

We are looking for ambitious graduates and early professionals who are open and willing to take on new perspectives and drive the change.

Shape your individual Journey of Growth:

• The program will start July 1st, 2026
• During your 14‑month trainee program you work on exciting projects at home and abroad, tailored to your profile and career goals
• A top‑level mentor will accompany you throughout the program, offering guidance for your professional development and helping you build a strong network for your future career
• Participate in our training camps where you reflect on your strengths and unlock your full potential
• Bring your pioneering spirit to current business projects:
  We combine your perspective and your ideas with our innovative product development to create the world's most desirable cars

We are FC.OS, Mercedes‑Benz’s Finance & Controlling organization that unites ERP and BI under one roof. Our teams design, run and continuously improve the platforms and products that power global finance processes and data‑driven decisions. As the AI‑Cap for Finance and Controlling, we set the guardrails for responsible AI: governance, standards, lifecycle guidance, training and enablement, as well as a community of practice.

We partner with business and IT to turn data into outcomes – reliable operations, trusted analytics and simple user experiences. Whether a challenge needs product thinking, engineering craft or both, we work in small cross‑functional teams, learn fast and scale what works. Join us to bring pragmatic AI into everyday work – safely, measurably and at global scale.

Your tasks:

• Responsibility to bring artificial intelligence into daily work—either with a product focus, an engineering focus, or a mix of both
• Turning business problems into clear opportunities, run lean discovery with users, and translate insights into epics, features and user stories
• Collaboration with design, engineering, data and security to shape minimum viable products, set success measures and drive adoption
• Creation of small prototypes in Python or Type Script, connecting data and systems through clean interfaces, and evolve proofs of concept into stable services with testing, containers and automated deployment
• Desing of retrieval‑supported applications, implementation of vector search and caching, setting guardrails for privacy, access control and auditability
• Facilitating workshops, explanation of trade‑offs in plain language, enablement of teams with short trainings, reference implementations and clear documentation

• An above‑average degree (master, MBA or doctorate) in Computer Science, Artificial Intelligence / Machine Intelligence, Data Science / Data Analytics, Information Systems / Business Informatics, Software Engineering, Mathematics or Statistics (with strong programming component), Electrical and Computer Engineering, Computational Engineering / Scientific Computing, Business Analytics, Cognitive Science or Human–Computer Interaction (with strong technical component) or a comparable course of study
• Maximum of 3 years of professional experience (apart from studies)
• Ability to translate business needs into clear user stories and acceptance criteria
• First experience in building small prototypes and developing them into stable, maintainable services
• Familiarity with data preparation for both structured data and documents; basic understanding of statistics
• Understanding of modern artificial intelligence concepts, including large language models, prompt design and quality safeguards
• Strong facilitation skills: running short discovery sessions, capturing decisions and aligning diverse stakeholders
• Understanding of modern AI concepts, including large language models (LLMs), prompt quality and retrieval‑augmented generation (RAG)
• At least 3 months of experience abroad (study, international internship, work and travel)
• Strong affinity for digital technologies and enthusiasm for future…