Top Artificial Intelligence Jobs in Germany

Lead and coordinate data protection, compliance, and AI governance processes across the organization. Maintain and review governance documentation, handle data protection requests and approval workflows, advise product and engineering on compliant AI practices, and monitor regulatory developments. Act as liaison between operational teams, management, and governance stakeholders while improving governance procedures and supporting implementation of AI-driven public-sector solutions.

Design and implement testing strategies and automated frameworks for AI/ML systems; evaluate model performance, robustness, biases, hallucinations, and security; analyze datasets and outputs for quality and compliance; collaborate with engineers and product teams to improve AI solutions and document testing findings and best practices for trustworthy AI in public administration.

Develop and optimize large neural-network tabular models in Python. Profile training and inference pipelines, improve memory efficiency, latency, and throughput. Implement performance-critical components in Rust (and optionally C++), ensure numerical stability and reproducibility, collaborate with researchers to productionize capabilities, and maintain tests and documentation.

As a Senior Frontend Engineer, lead the development of responsive UIs for an AI platform, ensuring code quality and collaborating with teams to enhance features and tools.

The Senior AI Product Manager will lead cross-functional teams to define, develop, and manage B2B SaaS products, focusing on customer value and market needs, while utilizing Agile methodologies and Generative AI technologies.

Lead design, build, and production deployment of AI solutions across Arxada's Microsoft ecosystem. Own architecture for Azure AI, Microsoft Fabric, M365 Copilot, and Power Platform; integrate OT edge-to-cloud pipelines; embed security, identity, and responsible AI controls; manage MLOps and lifecycle; and mentor engineers and data scientists to deliver scalable enterprise AI solutions.

Build and operate scalable Python backend services (FastAPI, pydantic) powering forecasting, optimization, and agentic workflows. Design APIs, semantic data layer (Postgres, dbt), pipelines, caching, and LLM/agent integrations (Claude, RAG, function calling). Prototype quickly with product teams and FDEs, ensure observability, robustness, and product impact while balancing speed, scalability, and maintainability.

Design and ship production generative AI systems and multi-agent solutions for enterprise clients. Build LLM and RAG pipelines, vector search, and AI-driven automations integrated into cloud-native SaaS architectures. Collaborate with product, engineering, and leadership; advise clients on AI strategy and deployment, focusing on security, scalability, and measurable business outcomes.

Lead a small solutions-engineering team to prototype and demo computer-vision AI solutions, build customer-specific proofs of concept, handle customer inquiries via ticketing/email, and improve team efficiency through documentation and resources.

Design, develop, and operate cloud and on-prem product variants for an AI redaction pipeline. Ensure scalability of compute-intensive workloads, guide cloud architecture decisions, improve cross-team issue visibility, introduce continuous delivery, and steer technical projects through implementation and handover to operations within an agile team.

Ship real open-source integrations and MCP servers to bring SearchApi to agent and automation frameworks. Create PRs, example apps, docs, and integration guides. Stay current with the agent ecosystem, pick high-leverage targets, and work independently to deliver production-ready integrations.

Build end-to-end AI systems and agents for procurement workflows. Improve search/matching, build evaluations and data pipelines, implement structured outputs and guardrails, and support backend scalability and reliability in a fast-paced startup environment.

Design, implement and optimize Retrieval-Augmented Generation platforms, document ingestion, embeddings and vector search. Build agentic workflows with LangGraph, integrate LLM providers and cloud services, containerize and automate infrastructure, implement testing and validation for RAG systems, and develop REST APIs and data models.

Manage and coordinate software integration projects in production: gather and analyze customer requirements, prioritize Jira tickets, shape product roadmap, integrate computer vision/AI/3D/LLM technologies, ensure onboarding and customer experience, run planning meetings, support sales/trade shows, and drive business development.

Develop and deploy robust perception and AI systems for industrial robotics. Implement, train, and debug PyTorch models (primarily computer vision), prototype research, integrate solutions with camera systems and production workflows, and optionally contribute NLP/LLM functionality.

Operate and scale agentic AI systems for real insurance claims: run pilots, process claims, fix edge cases, build automated workflows and SOPs, measure quality, and support enterprise rollouts while developing deep expertise with Claude and frontier AI.

Lead product discovery, define product strategy and metrics, and design AI-driven competitive intelligence experiences. Evolve single-prompt analysis into multi-stage reasoning, build pattern-recognition and feedback loops, and drive product-led growth to convert trials to paying customers.

Freelance AI Visual Artist experimenting with generative image, video, music, and text tools to produce concept-driven visual outputs. Create moodboards, motion studies, and experiments, document process, and collaborate with creatives and strategists to shape new workflows and campaigns. Must share work and social links.

Create short- and long-form AI-generated educational and entertainment content for Instagram, TikTok, and YouTube. Rapidly test content hypotheses, analyze performance, research trends and competitors, and iterate on hooks, storytelling, and editing. Collaborate with the product team and continually experiment with AI image/video generation and editing tools.

Design and build agentic conversational systems combining LLMs, reasoning components, and data pipelines. Lead ML/NLP model training, evaluation, optimization, deployment, and experimentation. Integrate intelligent agents into recruiting workflows, mentor engineers, and improve reliability, personalization, and observability of production ML systems.

As a Senior AI Engineer, you'll develop agentic systems, build AI integrations, and design production systems while ensuring compliance in high-stakes environments.

Auditing and evaluating AI-generated chatbot conversations for quality, following specific guidelines, and using a client platform while ensuring fluent communication in German.

As an Enterprise AI Adoption Manager, you will guide companies in adopting AI, manage enterprise accounts, drive AI transformation, and work closely with engineering and product teams to deliver value.

The Senior Backend Developer will build Ruby on Rails services, research Slack & MS Teams ecosystems, and support continuous improvement within the Workato platform.

The Consulting Manager will lead AI transformation programs, work with executives on strategy, drive business growth, represent the company in discussions, and mentor teams.