Top Artificial Intelligence Jobs in Berlin

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

As a Continuous Improvement Manager, you'll analyze operations, drive implementation of AI-powered improvements, and build strong relationships with customers while ensuring measurable outcomes and efficiencies.

The Engineering Manager - AI will lead a collaborative team, manage software engineering projects, and focus on building a user-centric deliverable while ensuring high quality and performance in AI-based applications.

Design and implement the user experience for an AI-powered Anti-Money-Laundering platform, focusing on intuitive interfaces, workflow automation, and collaboration with product and engineering teams.

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

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.

Lead the LLM team to architect, train, and deploy AI models, optimizing real-time user experiences and creating advanced moderation systems.

Translate legal expertise into AI-powered workflows and Libra Assistants by partnering with Product, Engineering, Sales, and clients to design, implement, and optimize solutions. Support pilots, enable customers, create training content, and provide product feedback to improve accuracy and adoption.

The AI Operations Associate will master the customer lifecycle, design and scale business processes, and collaborate closely with engineering to enhance customer experiences. This role requires hands-on problem-solving and initiative leadership.

As Director of Data, you will lead the Data & AI function, building a team to execute data strategy and drive business value in financial services.

As an AI Research Engineer focused on AI Safety, you will develop techniques for evaluating AI products, enhance decision-making via uncertainty quantification, and ensure robustness against adversarial attacks.

As a Senior AI Product Manager, you'll shape the vision and strategy for Intercom's AI systems, collaborating with ML scientists and engineers to deliver impactful AI products and improve customer experiences.

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.

The Principal AI Scientist will architect and implement advanced Generative AI models, train and optimize LLM systems, and collaborate across teams to enhance performance in AI applications.

The role involves developing and delivering workshops on AI tools, supporting the adoption of AI across ABB, and managing training on AI concepts and change management.

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

Support business development and events, generate leads and market research, and design small automation (n8n, Python, APIs). Use CRM automation, data analysis and AI tools to qualify leads, optimize processes, and implement technical solutions to improve efficiency and growth.

Own and evolve cloud infrastructure on AWS using Terraform; manage and scale Kubernetes clusters; build and improve CI/CD pipelines; implement monitoring, logging and alerting; configure CDN infrastructure; and support ML workloads in production to improve developer experience and observability.

Own a book of accounts to drive adoption, renewals, and upsells; provide first-line technical support for integrations, agent performance and call quality; run onboarding, workshops and training; build tracking workflows, document playbooks, and translate customer needs into product feedback.

Own pilot accounts and drive commercial outcomes; build, deploy, and refine AI voice agents; partner with engineering to ship production-ready agents; lead onboarding, training, and documentation to scale onboarding and enable customer success.

Own outbound and inbound pipeline for AI cloud users, manage outreach automations, re-engage sign-ups, coordinate discovery and partner calls, maintain CRM hygiene, attend events, and design GTM experiments with founders and CRO.

As a Senior AI Engineer, you will architect, develop, and scale AI-powered services for our SaaS platform, collaborating with teams and ensuring quality and reliability of AI features.

The Senior Agentic AI Engineer will develop cutting-edge GenAI solutions, design high-performance AI modules, and ensure system integration while leading cross-functional teams.

The Senior Agentic AI Engineer will design and deploy GenAI solutions, integrating intelligent agent services, leading AI research, and enhancing code quality to transform global logistics.

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.