Top Artificial Intelligence Jobs in Germany

The Account Executive will establish the Netherlands market presence, collaborate with SDRs to enhance lead quality, and manage client relationships in the renewable energy sector.

The Digital Marketing Specialist will create engaging content, support performance marketing, conduct market research, and analyze marketing data.

Twelve-month, full-time on-site rotational GTM program in Berlin. Start as an SDR or Product Specialist, rotate through sales, solutions, marketing, revops, and product, then specialize into a permanent AE, AM, RevOps, Marketing, or Product role. Program begins August/September with small cohorts and offers hands-on ownership, training, and above-market pay.

The Account Executive will enhance lead quality, build client relationships, conduct demos, close deals, and monitor market trends in renewable energy.

Reonic invites unsolicited applications from passionate individuals interested in renewable technology to contribute skills and ideas.

The role involves improving customer experience, onboarding clients, driving revenue retention, and leading strategic growth projects within a fast-paced startup focused on renewable energy solutions.

As a Voice AI engineer, you will build reliable systems, solve unique Voice AI challenges, and evaluate models for customer impact, taking ownership of projects.

The AI Product Manager will drive the development of AI-powered applications, collaborating with engineering and design teams, conducting market research, and optimizing AI models to align with user needs.

The AI/ML Engineer will develop and optimize machine learning models, work with cross-functional teams, and enhance mobile app features.

Design and build an internal AI platform, evaluate and integrate large language models, develop APIs, and establish engineering standards.

The AI / Machine Learning Researcher will conduct applied research, develop prototypes, and work with data to create AI-driven features related to home design.

As Head of Product for Agentic AI, oversee AI-driven features within the WFM platform, manage customer insights, product vision, and stakeholder alignment, ensuring successful delivery and market introduction of innovative solutions.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

As a Senior AI Infrastructure Engineer, you will build and optimize training pipelines and inference services for AI models, ensuring robust performance in production environments while collaborating with ML scientists.

As an AI Research Engineer at Helsing, you'll architect and enhance deep learning frameworks, optimize infrastructure for distributed training, and develop strategies for large datasets while collaborating with a cross-functional team.

You will design, train, and deploy agents in multi-agent environments, enhancing our reinforcement learning capabilities and integrating cutting-edge AI into production systems.

As a Deployed AI Engineer, you'll integrate software into systems, collaborate on customer requirements, and troubleshoot issues while showcasing AI capabilities.

As an AI Research Engineer, you will develop signal processing solutions, collaborate across teams, and apply AI in real-world scenarios within defence.

The AI Engineer will develop and deploy AI applications, collaborate on the end-to-end pipeline, create backend services, and develop frontend interfaces.

As a Principal Software Engineer, you'll lead multiple teams in Risk Management, designing cloud-based solutions, mentoring engineers, and driving innovation.

Lead CLM & Document AI sales motion with field teams, driving strategy from discovery through proof-of-value and close. Advise on enterprise contract intelligence, co-sell in complex deals, enable account executives, build pipeline and forecasts, codify best practices, and feed market feedback to product and marketing.

The role involves leading design for AI-native products at Synthesia, focusing on improving interaction patterns and enhancing user experience in AI-driven workflows.

Lead enterprise AI strategy, operating model, governance, platform enablement, and CoE to deploy safe, compliant, and scalable AI across R&D, Clinical, Manufacturing, Quality, Commercial, and Corporate functions in a regulated pharmaceutical environment.