Top Artificial Intelligence Jobs in Germany

As an Industry AI Sales Specialist at HPE, you will develop sales strategies for AI and HPC, engage with IT decision-makers, and guide customer decision-making while achieving sales quotas.

The HPC & AI Technical Consultant delivers and implements HPC & AI services to customers, manages relationships, and troubleshoots technical issues. Requires travel and collaboration across teams.

Manage and develop partnerships with AI-native boutiques and consultancies to drive adoption of Anthropic's technology and ensure partnership success across the DACH/CEE region.

The AI Automation Engineer will automate workflows and build internal tools for Sales, Marketing, and Customer Success, streamlining processes and improving efficiency in a fast-paced startup environment.

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.

As a Senior Full Stack Engineer for the AI Platform, you will build solutions enabling rapid GenAI agent development and deployment, impacting healthcare and other sectors. Your role encompasses designing full-stack applications, applying secure SDLC practices, and collaborating on impactful AI systems.

The AI Architect designs and implements scalable AI solutions on cloud platforms, overseeing architecture standards, CI/CD strategies, integrations, and ensuring alignment with best practices in AI.

As a Principal Forward Deployed Engineer, you'll deploy JetBrains Central in enterprise environments, implement AI governance, mentor teams, and advise customers on AI-native development best practices.

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 role involves designing automation solutions for PMO processes, customizing Jira and Confluence, developing scripts, and supporting users with tooling expertise while collaborating with different teams.

Lead company-wide AI and automation adoption: run internal programs (hackathons, enablement, dogfooding), conduct AI market watch, produce guidance and content, evangelize successes, and manage and scale the Automation team while overseeing cross-functional delivery and OKRs.

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 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.

Lead the development of AI perception systems, design models for real-time localization and multimodal fusion, and collaborate with engineering teams.

As the AI Agents Solutions Architect at Kraken, you'll design and build an AI-native finance operating system, automating finance operations and ensuring compliance in a regulated environment.

As a Legal Solutions Architect, you'll design AI-powered legal workflows, collaborate with various teams, and ensure outputs meet legal standards.

Lead the transformation to an AI-enabled international customer support model: define strategy, design multichannel infrastructure, implement AI use cases, track KPIs, and build an AI-focused support enablement team while collaborating with product, IT, engineering, and field service.

The Director of Business Development will drive revenue through creating strategies for new business, managing client relationships, and overseeing sales processes while ensuring high service standards.

The Senior AI Automation Engineer designs and operates GenAI-powered automations for business workflows, integrating systems through APIs and ensuring reliability and quality in solutions.

The Technical Product Manager will oversee networking services, manage product backlogs, coordinate cross-company implementations, and ensure performance and security in delivery.

The Principal AI Scientist will develop customized LLM solutions, enhance existing models, and incorporate new AI techniques. Required to collaborate with teams and optimize performance for generative AI applications.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

Lead the planning, execution, and delivery of robotics projects, coordinating cross-functional teams and managing budgets, timelines, and risks.