Engineering Manager - AI Engineering & AI Platform (m/f/x)

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Engineering Manager - AI Engineering & AI Platform (m/f/x)Full-timeCompany DescriptionScalable Capital is a leading digital investment and banking platform with a full banking licence, empowering people across Europe to shape their own finances. Scalable Broker makes it easy and affordable for clients to invest professionally in stocks, ETFs, cryptocurrencies, and derivatives, as well as set up savings plans. Scalable Wealth, the digital wealth management service, offers clients professional investment in ETF portfolios, and is also adopted as a white-label solution by banks and other B2B partners. The company’s offerings are rounded off by attractive interest rates, loans, and private equity. With the European Investor Exchange, Scalable Capital offers an exchange specifically for retail investors. Over one million clients have already entrusted more than €30 billion to the platform. Founded in 2014, Scalable Capital now employs over 700 people across Munich, Berlin, Vienna, Milan, and London. Together with the founding and management team, including Erik Podzuweit and Florian Prucker, they are working on a new generation of financial services.Visit our finance blog or check out our Social Media channels to find out what our Expert Teams have to say. Our Company Values guide us every day in how we work and collaborate. To learn more about them, you can find our values here (English).Job DescriptionShape the future of our AI Engineering and AI Platform capabilities within the Data Science and AI tribe. We are building a new team of AI Software Engineers and AI Platform Engineers to bring AI use cases into production at scale.We are looking for a passionate and motivated Engineering Manager to lead this newly formed team. As the EM, you will play a key role in turning AI concepts, data science ideas, and business opportunities into scalable backend systems, cloud-native architectures, agentic workflows, and internal AI platform services.We are not training models from scratch. Instead, your team will integrate modern AI capabilities via APIs from providers such as OpenAI, Anthropic, Google, and others, and build the platform foundation required to use them securely, reliably, and cost-effectively.Build and lead a new AI Engineering and AI Platform team, helping engineers grow and the team become self-organized, agile, and autonomousProvide technical direction for AI/LLM services, backend systems, AWS architectures, Terraform infrastructure, CI/CD pipelines, and agentic workflowsDrive the end-to-end implementation of AI use cases, from ideation and technical scoping to delivery, rollout, monitoring, and maintenanceShape our internal AI platform for model access, MCP server integrations, observability, governance, rate limiting, and cost managementWork closely with Data Science, Product, Engineering, Security, Platform, and business stakeholders to identify and deliver high-value AI use casesEstablish engineering best practices for reliable, secure, maintainable, and production-grade AI systemsBe part of the recruitment process to attract and onboard new colleagues for the teamQualificationsA university degree in a relevant field, such as Computer Science, Software Engineering, Mathematics, Natural Sciences, or a comparable qualificationPrevious experience in software engineering, backend engineering, platform engineering, cloud engineering, or AI engineeringExperience leading engineers as an Engineering Manager, Team Lead, Tech Lead, or in a comparable roleStrong understanding of scalable backend systems, cloud-native architectures, API design, and modern software development practicesGood knowledge of modern AI system integration, including LLM APIs, agentic workflows, and production-grade AI servicesHands-on experience with Python, Docker, CI/CD pipelines, cloud infrastructure, and Infrastructure as Code, preferably AWS and TerraformUnderstanding...