Lead Agentic AI Orchestration (f/m/x)

With our BMW, MINI, Rolls-Royce and BMW Motorcycle brands, we are one of the world's leading premium manufacturers of automobiles and motorcycles, as well as suppliers of premium financial and mobility services. For the Business Unit Gastronomy at Munich we are looking for you as Lead Agentic AI Orchestration (f/m/x)

NO NEED TO PREDICT THE FUTURE. YOU CAN CREATE IT. SHARE YOUR PASSION. At BMW, our engineers re-write automotive history each and every day. But it takes creative problem-solvers with unerring vision and expert know-how to continuously push the boundaries of what's possible at the cutting edge of future mobility. As the central AI Incubator, we are driving the introduction of Agentic AI in the BMW Group and defining the direction across functions and divisions. Together, we orchestrate the next generation of AI solutions and create alignment between top management, digitalization functions, IT and tech departments. In overarching project teams with the relevant departments and BMW Group IT, Agentic AI solutions are implemented and transferred to operational processes. What awaits you? You will design and manage a team of Agentic AI experts who will drive the implementation of Agentic AI in the processes in joint project teams with the departments and IT. You will provide strategic advice as a central AI Incubator, identify potential, priorityitize and manage use cases and lead cross-functional teams through the entire orchestration process - from the idea to productive implementation. You will therefore define the functional architecture for autonomous multi-agent systems and develop a BMW Group wide concept for agentic AI orchestration in our core processes. In addition, you will develop a data and knowledge strategy together with relevant interfaces so that AI agents always have up-to-date, relevant context. You will ensure the secure, scalable integration of the AI agent solutions in the BMW Group's specialized processes using the BMW Group IT platforms and establish robust operating processes with the specialist departments, search as monitoring and fail-safe mechanisms. You will therefore define KPIs and evaluation frameworks to make the success of the agent AI solutions measurable and pay attention to accuracy, reliability, ethical guidelines and AI safety.

What should you bring along? University degree in computer science, data science, engineering or a comparable field. Several years of professional experience with AI systems and a practical understanding of modern AI architectures, ideally in the automotive industry or related industries. Practical expertise in agent-based AI and implementation of LLM-based AI agents or multi-agent systems in specialized processes. Experience in detecting processes, identifying potential for change through AI and developing automated processes using AI agents. Experience in the use of pre-trained large language models, context engineering, retrieval augmented generation and knowledge retrieval. Analytical and consultative skills, structured problem-solving skills and high detail-orientation. Additional certifications in cloud technologies, data science or AI as well as contributions to the open source community are advantage. Are you ready to play a key role in shaping the BMW Group's Agentic AI strategy as a Thought Leader? Then apply now! Find out more about Artificial Intelligence at the BMW Group here. Note: Please apply exclusively online via our career portal. Applications via other channels (esp. e-mail) cannot be considered.

What we offer? First-class working environment with personal development opportunities. The opportunity to shape our transformation and the future of mobility. Attractive, fair and performance-related costs. Annual special payments search as vacation pay, Christmas bonus, and profit sharing. Flexible working hours including 6 weeks annual leave. Company car programme and other discounted BMW & MINI conditions. Many other benefits at bmw.jobs/benefits

Earliest starting date: from now on Type of employment: unlimited Working hours: full time Position reference: 172775