Tech Lead (d/f/m) - Data, AI & Platform

• You own the overall technical architecture, comprising the data product, services, and platform, and ensure the scalability, security, and long-term maintainability of our entire system

• You set the technical direction, create alignment across teams and components, and collaboratively develop the technical roadmap and guardrails with the product team – aligned with the overarching tech strategy and relevant technical stakeholders within the company

• You continuously evolve the data and AI foundation together with our expert team – from graph-based knowledge models and data pipelines to the productive use of LLMs, RAG, and agentic systems

• You shape APIs and platform services, ensuring clear, stable, and scalable interfaces as well as a great developer experience for our customers

• You embed Security, DevOps, and Engineering Excellence into architecture and development processes, and identify technical risks early on

• You work closely with the Business Owner of the product – together you bring business, product, and technology perspectives together, ensuring that strategic ambitions and technical decisions go hand in hand

• You act as a sparring partner and coach for our engineers, facilitate technical decision-making, and strengthen technical ownership and quality

• You have extensive experience in demanding software, data, or platform environments and have already taken on technical responsibility for complex systems

• You think in holistic systems and can evaluate architectural decisions in terms of business impact, scalability, maintainability, and security

• You have experience in the technical leadership of experienced engineers, are able to bring together diverse technical perspectives, and can drive decisions to conclusion

• You are familiar with modern architectures for data-intensive applications, APIs, and platforms, as well as common architecture and design patterns

• You are well-versed in modern cloud and AI technologies – ideally from our stack (e.g. AWS, Amazon Neptune, TypeScript, Serverless Architectures, Terraform and AWS CDK, LLMs, RAG, LangChain, LangGraph, Langfuse, and AgentCore) – and you quickly get up to speed with new tools and concepts

• You bring hands-on experience with data and/or AI products, ideally including LLMs and generative AI in production environments

• You have a solid understanding of Cloud, DevOps, Infrastructure as Code, and Security by Design

• You are able to balance technical excellence and long-term scalability with pragmatism and time-to-market

• You communicate clearly and audience-appropriately – from the engineering team to senior leadership

• You have proficient English language skills (minimum C1)

Please include a cover letter with your application, telling us what excites you about this role and why you consider yourself the ideal candidate for this position.

At Haufe Group, we create pioneering working conditions in which each of us can optimally contribute and develop. You’ll be given space and responsibility, you can work hybrid with flexible working hours and you have a wide range of training and development opportunities. We’re tangible and real, and officially a Great Place to Work.

JobID: REF496L

Haufe Akademie: Facilitating development, shaping the future.

Haufe Akademie is one of the leading providers of training solutions in Germany. We offer everything that people and organizations need for their further development, ranging from innovative learning technologies and a unique variety of formats and topics to consulting and implementation of strategically oriented HR and organizational development.

We embrace and value diversity and we are convinced that employees with diverse backgrounds bring different perspectives and strengths to our company. We therefore encourage applications - regardless of gender, nationality, ethnic and social background, religion/belief, disability, age, sexual orientation and identity. As a signatory of the Charta der Vielfalt, we are firmly committed to diversity, tolerance, fairness and appreciation.