Test and validate AI models and software for automotive use cases: generate ground truth, build annotated datasets and testing frameworks, evaluate technologies, support R&D engineers, coordinate projects and outsourced work, and collaborate with internal and external partners to drive innovation and product readiness.

Design, develop, deploy, and maintain full-stack agentic AI applications from concept through production. Responsibilities include agent orchestration, data and tool integration, MCP server connectivity, frontend UI/UX development, cloud deployment, engineering-process analysis, technology evaluation, testing, validation, documentation, and innovation project coordination. The role collaborates with R&D teams and internal customers to create reliable AI solutions that improve efficiency, quality, and scalability.

Develops next-generation AI, machine learning, generative AI, and agentic AI solutions for engineering workflows. Responsibilities include researching techniques, evaluating approaches, building and validating production-ready applications, APIs, services, and data pipelines, and transitioning solutions to internal customers. The role also evaluates emerging technologies, supports R&D programs, coordinates innovation projects, analyzes engineering results, and collaborates with engineering teams, universities, suppliers, and strategic partners.