1374 English-speaking jobs in Berlin

Principal Enterprise Architect for Defense Cloud Services. Develop target architectures and roadmaps for the defense sector, leveraging Hyperscaler knowledge (AWS, Azure, GCP) and TOGAF. Must ensure IT Compliance (BSI-Grundschutz, C5).

Build enterprise cloud infrastructure for European data sovereignty using Go, Kubernetes, and Terraform. Solve complex distributed systems challenges at scale in a DevOps role.

Own the technical vision for SAP’s Industry Knowledge Graph. Lead a multidisciplinary team in modeling industry data into production-grade RDF Knowledge Graphs, integrating them with LLMs. Requires deep expertise in the RDF stack.

Architect, design, and implement Workday Extend use cases for HCM & Financials. Lead teams in developing Workday Extend applications and solve complex integration problems. Requires hands-on Workday Extend experience.

Design end-to-end agentic and generative AI solutions for enterprise environments. Architect cloud and data platforms on AWS, Azure, GCP, and MarTech platforms. Requires extensive experience with agentic AI frameworks.

Design marketing data architectures across CDPs, cloud platforms, and activation layers. Define data modeling and identity strategies for personalization and attribution. Lead data architecture in MarTech transformation programs.

Design and optimize AI/ML infrastructure, including GPU clusters and distributed training environments. Architect, deploy, and monitor AI systems across cloud and on-premises platforms. Requires coding proficiency and strong understanding of AI/ML and computing infrastructure.

Architect end-to-end Workfront solutions and build Fusion automation connecting to platforms like AEM, Marketo, and Salesforce. Requires hands-on Workfront configuration and process orientation.

Support IT infrastructure by operating and optimizing environments using Azure, Kubernetes, and GitLab CI/CD. Resolve incidents, manage Windows/Linux systems, and automate workflows with Ansible.

Principal AI Infrastructure Architect sets technical vision for large-scale AI/ML compute infrastructure. Own complex architecture decisions across compute, networking, and storage, driving cost-optimized, production-ready systems.

Lead business process design and workflow automation for marketing operations clients. Configure and implement Adobe Workfront and design automation scenarios to create scalable, data-driven customer experiences.

Senior Software Engineer role applying open-source experience to real software engineering work. Responsibilities include contributing to AI model training, evaluation, and improvement. Requires senior experience and active open-source contributions.

Cybersecurity Research Expert – Offensive Security role involves evaluating AI analyses of exploits and vulnerability reports. Key requirements include CTF team membership, CVE discovery, or recognized bug bounty research.

STEM Researcher role requires MSc/PhD in a STEM field. Responsibilities include literature review, data analysis, modeling, and creating training data for AI models using tools like Python, MATLAB, and R. Must own a MacBook.

Materials & Engineering Specialist role requires senior expertise in materials science or engineering. Responsibilities include authoring domain tasks, building grading criteria, running model tasks, and collaborating to define domain quality.

UI/UX Design Expert to design grading criteria and score AI/human work samples for digital products. Requires 5+ years in product design, UI/UX, or design systems with strong written communication.

This contract role requires hands-on experience running creator or influencer programs. Responsibilities include designing task briefs, reviewing AI agent attempts, and evaluating AI-generated marketing content to improve model performance.

Bioinformatics & Computational Single-Cell Genomics Expert needed for contract role. Responsibilities include designing computational problems for AI systems and collaborating on single-cell RNA-seq analysis using tools like scanpy. Requires graduate-level STEM training and strong Python skills.

Evaluate AI-generated artifacts against domain-specific quality rubrics. This role requires 5+ years of experience in Engineering, manufacturing, or technical operations. Provide structured written feedback to improve AI model performance.

Platform Engineer - Document Specialist role requires reviewing and assessing domain-specific documents for quality and accuracy. Candidates need 2+ years of experience, strong document analysis skills, and proficiency in Excel, PowerPoint, and Word.