Technical Lead for Industry Foundation Models

Technical Lead for Industry Foundation Models

BMW Group

Munich, Germany

You drive the development of domain specific AI and shape the next generation of Large Industry Models (LIMs) for the BMW Group. LIMs bridge the gap between generic foundation models and the complex requirements of industrial environments. By building and scaling LIMs, you enable a new class of AI solutions across the entire value chain, from engineering and manufacturing to robotics, customer, and service, delivering measurable and sustainable business impact.

What awaits you?

• You define the technical and business product vision and system architecture for Large Industry Models, covering model, data, and platform layers;
• You take on the technical leadership of an engineering team of up to 10 team members, providing hands-on guidance and technical direction in building multimodal foundation model stacks, including language, vision, and action models;
• Furthermore you guide core technical and architectural decisions, selecting and adapting foundation models and designing scalable AI systems;
• You develop a comprehensive industrial data strategy, including data sourcing, curation, annotation, and feedback loops;
• In addition, you ensure reliable delivery of LIMs into cloud production environments with strong MLOps, evaluation, safety, and compliance standards.

What should you bring along?

• University degree in computer science, mathematics, data science, or a related field, or equivalent senior industry experience;
• Five to ten years of professional experience, including several years in advanced AI and technical leadership roles;
• Ability to translate complex technical concepts into AI strategies, products, roadmaps, and measurable impact;
• Deep expertise in foundation models, particularly multimodal and reasoning models, including adaptation and post training methods;
• Proven experience building large scale AI systems, including distributed training, high throughput inference, GPU acceleration, and cost optimization;
• Strong background in industrial or automotive data, processes, and IT systems;
• Excellent software engineering skills in Python and modern ML frameworks, with the ability to adapt to internal platforms and toolchains.