Top Artificial Intelligence Jobs in Germany

Lead technical strategy and delivery of AI solutions, managing teams of Applied AI Engineers and directly coding critical project components.

The Applied AI Engineer will implement AI tools, enhance workflows, and provide in-house consulting to optimize team usage of AI at Upvest, adhering to compliance and business outcomes.

The Product Manager for AI Platform will define and operationalize AI capabilities, working with technical teams to enhance client experience and ensure regulatory compliance while managing product development.

The Sales Development Representative Manager will lead an SDR team, focusing on hiring, training, achieving sales goals, and collaborating with regional sales leaders.

The Data Privacy Specialist ensures compliance with GDPR and AI governance, collaborates with teams, drafts documentation, conducts training, and analyzes data protection incidents.

As an AI/LLM Engineer, you'll design, build, and deploy AI systems end-to-end, processing large data volumes and integrating them into products.

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.

As a Pathologist at Mindpeak, you will ensure the medical quality of AI systems, validate annotations, and lead pathology projects for scalable cancer diagnostics.

Lead the AIVM product development, overseeing architecture, strategy, and execution while collaborating across teams for successful platform launch.

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

The Sales Operations & AI Manager will oversee CRM systems and automations, optimize sales processes, and build AI workflows to enhance lead generation and data management.

As an AI Operations Intern, you will support onboarding, manage customer journeys, enhance internal processes, and collaborate with teams to improve AI products.

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.

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

As a Go-to-Market AI & Data Intern, you will enhance data accessibility, implement AI-driven solutions, and improve workflows while collaborating with various teams.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

The Principal Engineer will lead the design and delivery of core platform capabilities, focusing on scalable systems, AI application, and mentoring engineers while driving architectural decisions and improving operational systems.

This role involves defining AI safety measures, governance patterns, and privacy guidance. You'll enhance the AI platform, ensuring safe and efficient product deployments.

The Senior AI Engineer will design and enhance shared AI platform capabilities while ensuring reliability and production readiness. The role requires collaboration on system architecture, building reusable components, and mentoring other engineers in AI development practices.

The Data Engineer role focuses on developing predictive models and enhancing data engineering practices to support business objectives. Responsibilities include writing clean code, model evaluation, and collaboration with a global team to improve reporting and campaign management.

The AI Engineer will build data pipelines and improve ML systems for reliability in production. Responsibilities include schema design, data infrastructure, and model evaluation, ensuring high-quality outputs and integration with product workflows.

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