Top Artificial Intelligence Jobs in Germany

The role involves leading AI and computer vision projects from concept to production, optimizing models for edge devices, and integrating with C++ pipelines.

Lead product strategy and roadmap for Cint's Exchange Demand services, define vision for agentic insights delivery, prioritize initiatives from data and customer research, author product requirements, and drive cross-functional execution with R&D, Data Science, Commercial, Operations, Legal, and Marketing.

Lead presales for complex enterprise deals across DACH and expansion markets: run discovery and technical deep dives, design tailored AI Agent solutions, deliver demos and POCs, represent the company at events, and feed customer requirements back into product and enablement.

The role involves evaluating AI outputs, correcting texts, analyzing multimedia, and providing culturally relevant content while adhering to guidelines.

Design and build production AI systems and distributed backend services that enable genomic reasoning, retrieval, and data platforms. Integrate genomic annotations and interpretation logic, architect high-performance data models and storage across PostgreSQL, DuckDB, Qdrant, Redis, and Spark. Ensure AI outputs are accurate, explainable, and grounded in genomic evidence while collaborating across engineering and bioinformatics teams.

Build and operate distributed backend services and genomic reasoning engines that combine whole genome bioinformatics with AI. Design scalable data models, retrieval and vector search systems, and deterministic guardrails to ensure scientifically accurate, explainable genomic AI for production use.

Design, build, and maintain an internal AI provisioning platform for LLM access. Implement observability, logging, alerting, and governance (security, data privacy, rate limiting, cost management). Support cloud-native architectures, CI/CD, and containerized deployments. Collaborate with AI engineers to monitor performance and reliability of production AI systems.

Lead the technical vision and strategy for Vinted's AI-enabled engineering platform, building assisted and agentic developer workflows, MCP integrations, and tooling. Drive experiments (automated refactoring, test generation, agentic PR reviews), define AI-readiness for repos/services, set success metrics, guide build-vs-buy decisions, and enable adoption across hundreds of engineers through golden paths, enablement, and technical leadership.

The AI Business Development Specialist will identify business opportunities, build client relationships, and promote AI solutions in various sectors, with a focus on the MENA region.

The Senior AI Engineer will design and scale a Phone Assistant product, improving healthcare interactions using AI and NLP. Responsibilities include building LLM systems, validating hypotheses, enhancing evaluation pipelines, and ensuring performance and security for user experiences.

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

This role involves developing and implementing data, AI, and technology strategies for clients, assessing current tech landscapes, facilitating technology integration, and quantifying business impacts of tech investments.

Lead the development of large language models for marketing technologies, optimize AI solutions, and mentor junior team members to drive innovation and quality.

The AI Enablement Manager will operationalize AI adoption at voize, building infrastructure, educating staff, and ensuring safe AI usage while driving transformation across the company.

The role involves leading AI-driven research in semantic analysis and reasoning flows, developing algorithms, supervising researchers, and contributing to course development in AI and related fields.

As an AI Enablement Engineer, you will build AI infrastructure, educate teams, establish governance standards, and oversee AI adoption across voize, driving impactful AI integration into workflows.

The position involves foundational AI research on semantic structure extraction and personalized content generation, along with teaching responsibilities in related fields at various educational levels.

The role involves architecting AI-powered workflows, integrating AI tools into production systems, and collaborating with creatives and tech teams to enhance production efficiency.

The Product Design Director leads a design team focusing on building AI-powered customer service solutions, raising design standards and executing innovative products through collaboration with product and engineering teams.

Design and implement backend business logic and orchestration for AI coding agents, integrate agents with product surfaces, external APIs and CLIs, build highly concurrent asynchronous workflows, improve context handling and failure recovery, collaborate with product and ML teams, and own technical design and code quality.

Design and build end-to-end AI product features for legal workflows using LLM APIs. Implement RAG and retrieval pipelines, agent orchestration, and backend services with FastAPI/Python. Build evaluation and monitoring infrastructure, ensure security and data privacy, and collaborate with Product, Legal Engineering, and Design to rapidly prototype and scale AI-driven legal experiences.

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

Define and deliver AI strategy, architecture, and standards. Design production-ready solutions (retrieval, orchestration, model serving, evaluation). Implement MLOps/LLMOps, governance, compliance (GDPR), and embed AI into products working with product, engineering, data, and platform teams.

Build and ship in-product AI capabilities: integrate LLMs and RAG, design prompting and evaluation, implement MLOps/LLMOps, ensure production reliability, privacy, and compliance, and collaborate with data, platform and product teams to move AI from prototype to production.

Lead a global team of solution specialists to drive growth across AI Business Solutions, Security, and Business Process. Coach and develop specialists, engage strategic customers and partners (including Japanese enterprise accounts), manage pipeline and forecasts, scale cross-region GTM best practices, and deliver measurable revenue, transformation, and operational outcomes across complex, multi-region environments.