Top Artificial Intelligence Jobs in Germany

Review, draft, and negotiate national and international contracts (licenses, development, NDAs); ensure legal compliance with emphasis on IP and technology partnerships; advise on corporate governance and corporate law; assess legal issues around AI, data protection, and liability for autonomous systems; collaborate with R&D, product, and executives to shape strategic decisions from a legal perspective.

Develop and maintain backend services, mentor team members, support data scientists in ML model deployment, and improve software architecture.

Manage and maintain German and international tax compliance programs, coordinate with reporting units and authorities, evaluate tax risks, design corrective actions for Tax CMS, handle tax clauses in separation agreements, deliver training, and provide strategic tax guidance to management.

This role manages second line risk oversight for market and capital risk, focusing on treasury activities, investment portfolios, and regulatory compliance across BNY's European entities. Responsibilities include challenging risk management practices, analyzing capital and regulatory frameworks, and engaging with stakeholders to improve governance and reporting.

The AI Architect will design scalable AI architectures, develop monitoring mechanisms, ensure compliance, create RAG pipelines, and collaborate with stakeholders.

Lead design and implement agentic AI systems: integrate services and models, optimize and fine-tune LLMs (LoRA/QLoRA), build datasets and evaluations, run experiments to improve reliability, cost, and latency for production workflows.

Lead architecture and delivery of perception and spatial AI models from cloud training to deployment on automotive-grade SoCs. Define deployment-first architectures, convert state-of-the-art research into production pipelines, set evaluation and hardware-aware validation standards, partner across research/product/customers, remain hands-on prototyping and debugging, and hire and mentor a high-performing engineering team.

Design and implement agentic AI system logic and reusable components. Integrate models, data sources, and services into scalable workflows. Prototype and iterate on agentic interaction patterns, tooling, and session/context handling. Support UI-facing clients and enable systems to take action through structured tools and APIs.

Own end-to-end product development for AI-powered system transformation solutions: prototype, wire data, compose Celonis-driven AI apps, iterate with customers, and scale across clients.

Lead DMPK-PD strategy and translational science across discovery and development. Drive advanced modelling (PKPD, PBPK, DDI), author regulatory nonclinical DMPK sections, implement biomarker/bioanalytical plans, and provide cross-functional leadership to de-risk programs and optimize clinical dosing.

Assist the Employment Law, Privacy, Ethics & Compliance Team with data privacy compliance, manage data requests, support ISO audits, and analyze business processes.

The role involves developing AI models for code analysis, enhancing ML techniques specific to programming, and collaborating to integrate prototypes into products.

Lead customer deployments of Moveworks ServiceNow AI Agents: design and build full-stack AI solutions, integrate and secure enterprise systems, tune LLM-based workflows, drive product adoption, collaborate with product and engineering, produce architecture and solution artifacts, and provide strategic customer guidance. Travel up to 25%.

As part of a dual study program in Applied Computer Science, students will gain hands-on experience in mathematics, IT security, and software engineering while participating in various projects and contributing to digital initiatives.

Lead technical implementation teams to design, build, and deliver Aras Innovator PLM solutions. Facilitate workshops, produce solution architectures, transform requirements into technical designs, deliver proofs of concept, mentor team members, manage offshore/on‑site teams, and contribute to continuous improvement and proposals. Travel up to 40% and work hybrid from Germany.

Lead aerodynamic modeling for high-agility fighter aircraft by integrating wind tunnel, flight test, and simulation data. Define dataset architecture for stability, performance, and loads; provide technical oversight of test campaigns; apply data fusion and machine learning to improve predictive models; mentor engineers and drive innovation while balancing technical, schedule, and economic constraints.

Lead strategic customer engagements as the accountable program lead for enterprise Celonis customers. Drive adoption, value realization, executive relationships, change management, and cross-functional delivery while mentoring teams and championing customer advocacy and industry-specific transformation (logistics focus).

Design, build, and operationalize ML and data pipelines; retrieve, parse, and process structured and unstructured data; integrate large language models into analytic workflows; develop algorithms and production-ready AI/ML systems; collaborate with cross-functional teams and clients to deliver data-driven solutions for public and private sector missions. Secret clearance required.

Lead strategic customer engagements to drive AI-driven process transformation using Celonis. Serve as accountable program lead, engage C-level stakeholders, mobilize cross-functional teams, mentor staff, build Centers of Excellence, and ensure value realization, adoption, and customer advocacy—with strong focus on logistics/transportation clients and German-language engagement.

The Senior Solutions Engineer collaborates with customers to design and sell innovative internet solutions, manage technical queries, and support internal teams, focusing on cloud and security technologies.

Work with strategic customers to design, prototype, and implement AI solutions on the Celonis Process Intelligence platform. Translate business needs into technical solutions (SQL, PQL, Python), build prototypes using generative AI and ML tools, present value to executives, ensure adoption and measurable ROI, and contribute reusable best practices to the Value Engineering Center of Excellence.

The Sales Manager will drive market entry and customer journeys, identify opportunities, manage sales processes, and lead a team while handling 50% travel.

Design, implement, and validate state-of-the-art generative and self-supervised machine learning models for molecular and ligand-based drug design. Develop predictive and representation-learning approaches using large-scale proprietary and external biological datasets, collaborate with computational biology and chemistry teams, and translate research into applied drug discovery solutions and scientific publications.

Design and implement Palantir Foundry workflows to aggregate and analyze multiple data feeds, maintain unified ontology and data synchronization, build customer-facing dashboards and custom components, and develop AI-enabled workflows and deployable marketplace solutions. Deliver scalable, user-friendly applications for federal clients while working within intelligence and systems engineering practices. Active TS/SCI required.

Own end-to-end design and delivery of AI-powered solutions for system transformations. Prototype on the Celonis platform, wire data, compose AI-driven applications, iterate with customers, and scale deployable products across customers while partnering with platform, UX, and GTM teams.