EU remote
AI Engineering Manager (m/f/n)
About this role
Help us build the next generation of AI-powered products Join the Data & AI organization and take ownership of engineering teams building AI-native solutions for the entire Group. This opportunity combines technology leadership with a meaningful influence on products, engineering practices, team development, and the organization’s direction in artificial intelligence. You will help shape the AI Engineering strategy, establish new software development standards, and partner closely with product, data, and technology stakeholders.
Together, we will explore practical applications of emerging technologies, including multi-agent systems, AI agents, and tools supporting the evaluation of AI models and applications. Your impact Lead a multidisciplinary engineering team of approximately 10–15 people working with AI technologies, supporting their growth, autonomy, and effective collaboration. Own the AI Engineering strategy and contribute to the development of products powered by machine learning and AI-native technologies.
Partner with product managers and key stakeholders to define requirements, priorities, delivery plans, new features, and product enhancements. Establish standards and processes for building AI-native products, including CI/CD with evals, test sets, and search subsystems. Select and implement best-in-class open-source and commercial tools, including MCP Servers, A2A communication, CI/CD pipelines, workflows, and agent definitions.
Guide the development of new AI-native workflows involving streaming, long-running tasks, and procedural UX, balancing state-of-the-art technology with pragmatism. Drive improvements in system architecture, application design, and engineering processes to enhance product functionality and customer experience. Contribute to hiring, onboarding, and the professional development of team members while supporting a diverse and inclusive workplace.
Collaborate with strategic vendors and technology partners on partnerships, service agreements, and external innovation. Technologies and areas you may work with Python, LangSmith, AI evaluation stacks, OpenAI, Gemini, Databricks, multi-agent systems, MCP Servers, A2A communication, CI/CD, test sets, search subsystems, streaming, and long-running AI tasks. What makes this role distinctive The opportunity to shape the AI Engineering strategy and define standards for AI-native product development.