Top Artificial Intelligence Jobs in Germany

As a Principal AI Researcher, you will lead AI research projects, mentor teams, and implement innovative AI technologies for Veracode's products.

Lead the product strategy for AI agent testing and observability, ensuring tools for testing agent behavior and quality scoring are user-friendly for non-technical users in B2B environments. Coordinate across multiple teams to deliver integrated solutions.

Join Databricks' AI Forward Deployed Engineering team to build and deploy GenAI applications, serve as a trusted advisor, and collaborate cross-functionally.

As the Technical AI Lead, you will oversee a global team, ensuring quality in AI products, defining best practices, and collaborating with product teams to deliver AI-driven solutions in healthcare.

Develop and implement SEO and AI search visibility strategies, coordinate content production, manage partnerships, and analyze performance metrics in a collaborative marketing role.

The PhD researcher will focus on AI-driven semantic structure extraction, automated reasoning modeling, and personalized content generation, supporting interdisciplinary research and teaching activities in AI and NLP.

Join Proxima's Enterprise AI team to discover use cases, build AI solutions in Python, integrate tools, and drive AI adoption across the company.

As a Senior AI Engineer, you will develop and maintain scalable AI systems, ensure compliance and safety, and enhance adoption across teams.

This role involves collaborating with cross-functional teams to design data solutions, maintain data products, build APIs, and oversee data engineering projects within a Data Mesh architecture.

Join the Jimdo AI team to architect and build the Companion system, integrating AI to assist microbusiness owners in various business tasks and workflows while ensuring system intelligence improvements and architectural scalability.

As an AI Product Manager, you'll contribute to product development in the AI audit space, engage with customers, prototype solutions, and drive product decisions based on user feedback and AI capabilities.

The Director of Data & AI will develop a product strategy for Upvest's data, oversee AI product development, and lead a high-performing team in a regulated fintech environment.

The Graduate Program at Scalable Capital combines learning and practical experience in Data & AI Engineering, featuring rotations across engineering disciplines, mentorship, and development opportunities.

As a Staff/Senior AI Engineer, you will develop production-ready coding agents and improve AI model capabilities for JetBrains' software development tools. Collaborating with teams, you'll focus on model training, evaluation, and product integration to enhance user experience.

As an AI Architect, you will design and govern enterprise AI architecture, ensuring secure, scalable solutions and compliance across the organization. Responsibilities include establishing technical standards, enabling robust AI deployments, and collaborating with teams to integrate AI with the enterprise data fabric.

Lead the end-to-end delivery of features, integrate AI tools into the workflow, and collaborate with stakeholders to solve user problems.

Lead and mentor a team of AI Deployment Engineers to ensure successful Codex adoption, guiding customer implementations and establishing best practices for AI-enhanced development workflows.

As an AI Solutions Engineer, you will design and implement AI-driven automations to enhance workflows and eliminate bottlenecks, collaborating across teams to innovate solutions.

As Head of Product, you will shape the product organization, own the roadmap, scale the team, and ensure customer satisfaction through optimized processes and product quality.

The role involves developing sophisticated LLM-powered autonomous agents, integrating intelligent services, and ensuring systems' scalability and reliability. Responsibilities include architecting AI modules, leading agile sprints, and monitoring production lifecycle with CI/CD roles.

Lead technical initiatives for Generative AI in logistics, design architecture, implement evaluation pipelines, and mentor engineers.

The AI/ML Engineer will develop and implement ML systems for secure-code understanding, manage infrastructure for LLMs, optimize models, and conduct research.

The role involves engineering, testing, and the development of advanced frontend components for an AI-driven cybersecurity product, integrating AI features and ensuring best practices are followed.

The Fullstack Engineer will focus on product software engineering, agents framework engineering, and R&D in AI and cybersecurity. Responsibilities include hands-on engineering, testing, and integrating AI Agents into existing systems.

The Senior AI Product Manager will lead cross-functional teams to define, develop, and manage B2B SaaS products, focusing on customer value and market needs, while utilizing Agile methodologies and Generative AI technologies.