Top Artificial Intelligence Jobs in Germany

Lead data strategy and build an AI-ready, governed, omni-channel customer data foundation. Deliver self-service analytics, graph-based models, identity resolution, and data governance. Hire and grow the data organization and enable cross-functional adoption of data and AI capabilities.

Lead design and implementation of a scalable modern data platform and real-time pipelines. Build, optimize, and maintain data models, ETL/ELT pipelines and integrations (Kafka, Spark, Delta Live Tables), enforce data governance and quality, enable AI/ML workflows and MLOps, mentor the team, evaluate new technologies, and collaborate with product and analytics stakeholders to deliver reliable, self-service data products.

Design rigorous, deterministic advanced physics problems and provide complete verified solutions for AI training and evaluation. Create reproducible simulations or computational workflows (using Python and scientific libraries), document reasoning clearly, and ensure technical precision. Contribute to problem design that tests deep multi-step physical reasoning.

Design, build, and deploy AI systems for early detection of inflammation-related diseases. Lead AI infrastructure, data modeling using medical standards and ontologies, analyze data for strategic decisions, and develop long-term AI roadmaps while ensuring ethical and compliant AI practices.

Lead integration of AI capabilities into the osapiens HUB by gathering and prioritizing application-team requirements, translating business needs into AI solution scenarios, monitoring AI market trends, measuring AI component usage/performance, and building cost structures and business cases to prioritize AI investments.

Drive market growth of IFS Loops, engaging industrial accounts to sell AI-driven workflows. Lead consultative sales and close high-value opportunities.

Lead and build Axelera's AI Infrastructure Systems division to deliver datacenter-class hardware from accelerator cards and OAM/UBB modules to 1U/2U racks. Own architecture, schematics, PCB/layout review, power/thermal/mechanical design, BMC/firmware, bring-up, validation, qualification, NPI, and ramp with CMs/ODMs. Align roadmaps with silicon, SDK, and product teams, engage customers and partners, set engineering processes, manage budget and vendor relationships, and mitigate technical risks through hands-on leadership.

Own the end-to-end process converting product, marketing, and account signals into qualified sales opportunities. Build qualification criteria, routing rules, data enrichment and automation, partner across product/marketing/sales/analytics, create feedback loops, and measure and optimize funnel conversion and data quality.

Lead design, training, and evaluation of LLMs for translation and language-quality tasks; build robust evaluation frameworks; architect agentic multi-model workflows; own model development from data curation to production; run reproducible experiments; collaborate with product and engineering and mentor researchers.

Lead design and delivery of AI-powered features for CLion and C++ workflows. Architect AI integrations and agent tools, prototype and validate debugging, code-understanding, refactoring, and navigation workflows, build benchmarks and evaluation frameworks, and collaborate with product, ML, QA, and engineering teams to set technical direction and roadmap for AI-assisted C++ development.

Own acquisition, onboarding, and activation for JetBrains AI. Improve product entry points, trials, demos, and onboarding flows. Lead experiments, analyze funnels and cohorts, remove friction, and partner with design, engineering, analytics, marketing, and monetization to drive activation and conversion.

Design and implement agentic tools, translating product needs to production, scale prototypes, improve semantic search, build evaluation pipelines.

The AI-First Full-Stack Engineer will lead full-stack development using Node.js and Next.js, integrating AI workflows and orchestrating Claude agent teams for efficient engineering processes, ensuring compliance with healthcare standards.

Support Central Europe Data & Analytics by building consistent KPIs and Power BI reports, analysing leasing, occupancy and financial performance, gathering and modelling data from lakes/warehouses, driving AI tool adoption, supporting systems requirements/testing, and partnering with operations and asset teams to improve NOI, reporting and operational execution.

Lead development of an autonomous agentic AI scientist for drug discovery: architect multi-step reasoning agents, bridge AI and wet-lab experiment design, prototype to productionize agentic systems, publish research, and collaborate with biological experts.

Design and develop Generative AI applications, building scalable full-stack solutions, managing various libraries, and collaborating across teams to enhance AI user experiences.

The Senior Product Manager will own the strategic roadmap, lead market research, manage monetization strategies, and mentor product managers within an AI and EdTech environment.

As a Consulting Intern, you will work with the AI & Data team to perform advanced analytics, develop predictive models, and assist in client communications for strategic consulting projects.

Serve as a strategic partner to AI Agents product leadership to align customer insights, product priorities, and cross-functional initiatives. Drive operational excellence by optimizing existing product development programs, improving processes, enabling data-informed decisions, and producing executive-ready recommendations. Coordinate across Product, GTM, Data, and Customer Experience to improve discovery, planning, launches, and customer engagement while measuring impact of improvements.

Author and refine a systems-engineering curriculum for experienced engineers: shape syllabus, define learning objectives, produce and fact-check lessons using AI tools, design hands-on projects and rubrics, and iterate with LX designers to meet milestone deliverables over a 4–6 month, ~15–20 hr/week engagement.

Lead applied research and system design for agent-native search: build multi-stage retrieval, ranking, and grounding methods for LLM-driven, iterative agent workflows; deploy high-throughput, low-latency production systems; define evaluation metrics; run experiments and mentor engineers.

The Chief of Staff will drive company operations, translating strategy into execution, managing financial steering, leading initiatives, and applying AI for operational efficiency directly with the CEO.

Erasmus-eligible intern to design and build AR/VR apps and an interactive website, manage hardware/software, create AI-assisted media and 3D assets, and support onboarding for art-science projects in Berlin or Saint Martin.

Support curatorial projects at the intersection of art and science using AI tools: develop and organise exhibitions/events, lead communications and fundraising, manage stakeholders, teams, budgets, schedules, risks, and deliverables.

Join a client-facing squad as a hands-on Senior Full-Stack Engineer working across Kotlin backends and React/TypeScript frontends. Apply AI-native delivery practices and agent/harness engineering to accelerate delivery, unblock the team, and share patterns across the organisation while using AWS and cloud data tooling.