Top Artificial Intelligence Jobs in Berlin

The Agentic AI Domain Architect designs AI-powered workflows, governing agent interfaces across systems, translating customer workflows into agent skills, and driving data-centric improvements.

Lead a team of forward deployed engineers to deliver impactful GenAI solutions, manage customer engagements, and improve operational excellence.

As a Staff Machine Learning Engineer, you will design and build ML systems to enhance advertising experiences, collaborate with teams, mentor others, and innovate in areas like generative AI and NLP.

The Senior Machine Learning Engineer will develop and deploy ML-based software, collaborate with stakeholders, and enhance Smartly's MLOps platform, impacting advertising experiences.

The Privacy & AI Analyst will develop privacy and AI governance programs, manage privacy operations, and ensure compliance with regulations like GDPR, focusing on practical implementation and risk management.

Develop and maintain backend services, mentor team members, support data scientists in ML model deployment, and improve software architecture.

The role involves building AI solutions for logistics, focusing on designing production-grade systems, problem-solving, and technical ownership without people management responsibilities.

The AI Architect will design scalable AI architectures, develop monitoring mechanisms, ensure compliance, create RAG pipelines, and collaborate with stakeholders.

The VP Analyst leads Gartner's AI strategy, creating insights, conducting analysis, advising clients, and mentoring team members. They engage with clients to address market trends and challenges.

Citrine Informatics invites applicants to submit resumes for general opportunities. They review applications periodically for potential new roles in AI-driven materials and chemicals.

The intern will identify and acquire customers, conduct market research, localize materials, and manage an internationalization project to support market entry.

Join a leading healthcare software provider to innovate in eHealth. Seeking AI enthusiasts with strong analytical skills and adaptability to help shape the future of healthcare.

Support and implement global pricing strategy, provide pricing recommendations, lead fee negotiations, perform quantitative analysis and financial modelling, improve pricing processes and reporting (including SAP data entry), oversee pricing research and competitive intelligence, adopt AI/technology for fee modelling, and lead a high-performing pricing team.

The Senior Account Executive drives adoption of AI-based fraud and financial crime solutions, fostering relationships with financial services clients, achieving sales targets, and defining sales strategies in a quota-carrying role.

Lead the design and implementation of AI-native recommendation pipelines, translate research into production-ready code, and mentor junior team members in a high-concurrency environment.

The Chief of Staff will support the CEO in executing company strategy, managing financial operations, applying AI to improve processes, and leading high-impact projects across the organization.

As an Engineering Manager of the AI Platform, you will lead the strategy and execution of AI-powered features, manage team performance, drive high-impact projects, and build partnerships with stakeholders.

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

The role involves supporting global clinical development teams by providing evidence-driven analyses, scenario simulations, and stakeholder presentations related to clinical trials.

Manage core data protection workstreams, review agreements, advise on AI compliance, and translate regulatory changes into actionable updates for the business.

As a Senior AI Engineer, you will develop AI agents, integrate features into a web app, enhance matching systems, and collaborate across teams to deliver ML solutions.

The AI Automation Engineer will design and implement AI-driven automation workflows, collaborating with teams for high-impact solutions while ensuring technical alignment and efficiency in operations.

As an AI Engineer, you will enable teams to effectively adopt AI by refining use cases, promoting reusable solutions, and guiding technical decisions to ensure responsible usage and cost management.

As an AI Adoption Engineer, you'll drive AI implementation for clients by scoping use cases, building solutions, and ensuring customer success through hands-on support and technical expertise.