Top Artificial Intelligence Jobs in Germany

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.

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.

Looking for a Senior AI Research Scientist to finetune LLMs, create conversational workflows, and innovate methods for faster inference.

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.

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 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 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 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.

As Head of Product - AI, you will define AI as the core of our platform, lead product managers, and shape the user experience for buyers and sellers.

Design and implement AI architectures using LLMs, collaborate on solutions, optimize models, and stay updated with advancements in generative AI.

The position involves researching AI's impact on higher education and science, focusing on best practices and early adopters. It includes collaboration, engaging in applied research, and contributing to publications.

The AI Platform Engineer will design and operate shared AI infrastructure, develop LLM-based services, and collaborate across teams to enhance developer productivity and efficiency.

As a Senior Machine Learning Engineer, you will develop and scale customer-facing AI models, ensuring quality integration with business solutions, and mentoring peers.

As a Go-to-Market AI & Data Intern, you will enhance data accessibility, implement AI-driven solutions, and improve workflows while collaborating with various teams.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

This role involves defining AI safety measures, governance patterns, and privacy guidance. You'll enhance the AI platform, ensuring safe and efficient product deployments.

The Senior AI Engineer will design and enhance shared AI platform capabilities while ensuring reliability and production readiness. The role requires collaboration on system architecture, building reusable components, and mentoring other engineers in AI development practices.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

Design and build high-performance backend systems for financial applications. Collaborate with teams to create scalable architectures and implement AI-driven features.