Top Artificial Intelligence Jobs in Germany

As a Lead/Staff Full Stack Engineer, you'll design and develop full-stack applications and AI agents for the GenAI platform, focusing on rapid deployment and impactful decision-making for various industries. You'll also mentor engineers and lead major projects.

The Staff AI/ML Engineer leads complex AI/ML system architecture, technical strategy, and mentoring while driving innovation and business alignment across teams.

Lead the development of robot policies and task planning. Collaborate with cross-functional teams to create real-world robotics solutions, incorporating AI technologies and MLOps practices.

The intern will support research on advanced signal processing for sensor systems, design digital filters, collaborate with team members, and document results.

Lead AI transformation initiatives in procurement, creating impactful research, developing strategies, and advising clients on AI integration and analytics for business outcomes.

As a PhD Research Intern, you will develop methods for 2D and 3D models, evaluate AI workflows, and collaborate on research projects. You'll produce documentation and potentially publish your findings.

Lead and mentor safety engineers while ensuring high-quality functional safety requirements and deliverables. Analyze safety performance, conduct safety management, and drive workflow improvements for automotive products.

Develop and architect the Orion Generative AI Platform, standardize technology stacks, and facilitate innovation while shielding teams from technical complexities.

The Product Manager for AI Platform will define strategy, implement AI solutions, ensure compliance, and collaborate with cross-functional teams.

The Data Analyst will create dashboards, analyze billing data, and derive insights for product development and costs related to AI platforms.

The Senior Machine Learning Engineer will design evaluation frameworks, diagnose model performance, develop ML systems, and mentor junior engineers while collaborating across teams.

Lead product development for AI-driven tools by conducting market research, validating product strategies, and collaborating with teams to ensure successful product delivery.

As Solutions Architect in Applied AI, you'll guide enterprises in adopting and deploying Claude, combining technical expertise with customer engagement to ensure successful implementation.

As a Principal Full Stack Engineer, lead the development of the GenAI platform, design full-stack applications, and mentor engineers. Build scalable systems for AI agents affecting key industries, ensuring security and reliability.

Support Machine Learning & Multimodal AI projects by researching ML models, developing prototypes, optimizing performance, and collaborating cross-functionally.

Lead the development of high-fidelity simulations and validation workflows for robotic systems, focusing on sensor simulation and mechanical modeling to ensure reliable performance in real-world and virtual environments.

The AI Content Evaluator will review and assess content for alignment with guidelines, ensuring quality and consistency in annotation. Responsibilities include evaluating various content types, applying structured criteria, and adhering to project guidelines.

As a VIE Study Engineer, you will support military studies, develop simulation models, manage project interfaces, and assist in defining customer requirements and concept of operations.

The AI Solution Engineer will design and implement AI-powered solutions for customers, translating business issues into technical solutions, and collaborating with stakeholders to ensure success.

The role involves developing new AI model architectures and adapting existing models, conducting experiments, and contributing to technical strategy in a high-growth research environment.

The AI Research Engineer will research and develop novel model architectures, adapt open-source models, and contribute to the technical strategy and culture of the team.

The role requires working closely with customers to design AI-powered solutions, translating business problems into technical plans, and leading solution implementation.

The VP Analyst will provide insights on AI and application services to C-level clients, conduct research, develop content, and deliver strategic advisory sessions. They will leverage broad industry experience and technical knowledge in AI technologies and application stacks.

The Lead Product Engineer will design and implement AI-driven applications, ensure secure architecture, and mentor the engineering team, owning end-to-end feature delivery.

Lead the deep learning team for AdTech at Delivery Hero, shaping AI strategy, developing models, and optimizing product performance across the platform.