Top Artificial Intelligence Jobs in Germany

As a Partner Solutions Architect, you will build and maintain technical relationships with partners, support solution development, and enable AI practices to drive revenue.

You will build and maintain backend services in Java using Spring Boot, design AI tools, and ensure system performance while collaborating with teams to integrate AI technologies.

As an AI Engineer, you will develop personalized learning experiences leveraging large language models, drive technical product decisions, and ship features to improve education outcomes globally.

The intern will design automations for lead management, conduct market research, support event planning, and assist expansion strategies in a fintech environment.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

As a Solutions Architect, you'll lead customer engagements, design GenAI solutions, and ensure successful deployment while collaborating with internal teams.

As a DevTooling Engineer, you'll enhance developer tools for the Polkadot ecosystem, prototype Web3 apps, and support internal/external developers.

The Staff Product Engineer will build AI-powered products, collaborate with ML scientists, and ensure successful production deployment. Responsibilities include software development, mentorship, and enhancing technical standards.

As a Senior Product Engineer in the AI Group, you will build systems for AI products, collaborate with ML scientists, and contribute to software development phases, while mentoring others and ensuring high technical standards.

As a Consulting Intern, you will work with the AI & Data team to perform advanced analytics, develop predictive models, and assist in client communications for strategic consulting projects.

Lead the core biometric recognition technology team, managing the full lifecycle of ML systems focused on iris and face recognition while ensuring privacy and reliability at scale.

The Expert AI Director will lead AI programs, manage relationships with stakeholders, ensure project alignment with business goals, and mentor teams.

The AI Support & Knowledge Manager will optimize AI performance, manage support content, design conversation flows, create automations, and oversee AI support KPIs.

The AI Product Sales Specialist will drive sales execution for Snowflake's AI/ML products, develop sales strategies, and engage with customers to optimize their use of Snowflake's platform.

The role involves achieving sales targets for AI/ML products, engaging with customers to address their needs, and collaborating with various teams to drive sales success.

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.

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.

Lead the development of robot policies, focusing on task planning, computer vision, and decision-making in robotics. Mentor teams, drive technical roadmaps, and collaborate on scalable AI solutions.

The Senior Robotics AI/ML Engineer at Analog Devices will develop AI-based robot policies, work on task planning and computer vision, and integrate AI into robotics systems, while collaborating with multidisciplinary teams.

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.

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 AI Software Engineer will design and deliver scalable backend systems for AI-driven products, integrating modern AI capabilities and maintaining services, with a focus on architecture and orchestration workflows.

As an AI Software Engineer, you will design and implement scalable systems and APIs for AI-driven products, collaborating with teams and integrating AI capabilities into applications.