Top Artificial Intelligence Jobs in Germany

As a Senior Data & AI Engineer, you'll advise clients on data and AI solutions, analyze requirements, design tailored data solutions, and collaborate with project teams to deliver results.

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.

Serve as a senior pre-sales Solutions Architect for Databricks AI/BI product line: drive account strategies, deliver demos/workshops, advise on lakehouse analytics, resolve tier-3 technical issues, and influence product roadmap to increase adoption.

Partner with customers to design, prototype, and scale AI-enhanced developer workflows using OpenAI Codex. Build demos, run workshops, produce technical guidance, gather product feedback, and advise on architecture, safety, and operational readiness to drive adoption.

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 Product Owner, you will manage the product backlog, collaborate with teams and stakeholders, and drive delivery of analytics and AI-related products.

The Application Engineer will develop and optimize semiconductor test programs while integrating AI capabilities into V93000 ATE systems, collaborating with customers and teams to enhance productivity and automation.

As an R&D Engineer, you will design and optimize AI pipelines, integrate LLMs into testing workflows, and analyze semiconductor data.

Design and improve enemy AI for a game by collaborating with teams, ensuring balanced ecosystems, and delivering high-quality experiences.

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.

Provide hands-on deployment, debugging, benchmarking, and optimization of large-scale AI training and inference workloads on NVIDIA GPU clusters. Work with customers and internal teams to identify bottlenecks, improve efficiency, and scale workloads reliably while contributing to resilience features for sovereign AI initiatives across Europe.

As a Creative Gen AI Specialist at Almedia, you'll architect automated pipelines, scale creative production using AI, and innovate post-production workflows to enhance visual output efficiency and quality.

The AI Operations Specialist will lead AI-related projects, coordinate cross-departmental efforts to enhance operational efficiency, and drive AI initiatives while ensuring alignment with business goals.

The AI Marketing Lead will drive AI initiatives, lead strategic projects, ensure cross-departmental coordination, and improve operational efficiency in user acquisition and product development.

Develop and maintain full stack applications, integrate AI capabilities using APIs, and collaborate with stakeholders to enhance workflows.

Join the AI Engineering team to design, build, deploy, and scale production AI systems. Translate business problems into AI solutions, industrialize ML models, design AI pipelines and platforms, ensure performance and monitoring, and drive MLOps best practices across architecture and governance.

Perform remote, part-time data tasks to improve German AI content, including data collection, evaluation, annotation, pairwise comparisons, counting tasks, and object tagging across audio, video, and images.

As an ML Engineer Intern, you will build and deploy ML models, design scalable infrastructure, and collaborate with data science teams in a fast-paced environment.

As an ML Engineer, you'll build and deploy scalable ML systems, optimize models, and collaborate with teams to improve content across platforms.

Develop and maintain backend services for AI-driven digital pathology, collaborating with cross-functional teams on technical solutions and automation tools.

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.