Top Artificial Intelligence Jobs in Germany

Lead strategy and delivery of agentic AI platform capabilities, driving architecture, product alignment, and commercialization. Own technical vision, trade-offs, partner/build decisions, and cross-functional alignment to scale production-grade AI systems integrated with customer ecosystems.

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.

Lead full-stack design and delivery of AI-native solutions in a hybrid environment, mentoring engineers, and ensuring high engineering standards.

Lead development of AI agents architecture at Toast, collaborating with management and engineers to deliver products and enhance efficiency in systems.

As a Senior Principal Software Engineer, you'll lead AI-native engineering efforts, setting architectural vision, mentoring teams, and driving complex initiatives.

The Staff AI Agent Engineer will drive customer success on the Moveworks platform, integrating AI solutions, designing architectures, and collaborating across teams to enhance product adoption.

The role involves designing and deploying AI systems for clinical operations, developing models for decision-making, and ensuring AI implementation aligns with data governance standards. Responsibilities include collaborating across teams, enhancing operational efficiency, and advancing AI applications in a regulated environment.

Interns in Value Engineering analyze customer process data, identify use cases, quantify financial impact, build management-ready presentations, present to C-level stakeholders, and leverage Celonis data modeling and AI to deliver data-driven value propositions for the DACH market.

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.

Lead design and deployment of AI agents and workflow automations across Supply & Operations, coach and lead Operational Excellence (Lean/Six Sigma) projects, build OE capabilities, embed continuous improvement and AI-driven workflows into enterprise systems, and lead global OE programs and strategies in External Supply.

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.

Drive product marketing for Renesas automotive microcontrollers: gather global customer requirements, coordinate projects with OEMs/Tier1s, define roadmaps, support sales and support teams, manage product introductions and marketing materials, report KPIs, and coordinate with Japan.

Design and implement end-to-end AI agents and full-stack internal tools, build core AI stack (agent orchestration, RAG, vector DBs), deploy scalable cloud services, lead AI transformation, establish governance, and mentor junior engineers.

Own partnership sourcing, negotiation, and deal execution to drive adoption of Walrus across AI and Web3 ecosystems. Build relationships with AI builders, data vendors, compute networks, and web3 partners; lead contract negotiations; and manage cross-functional integration from signing through execution.

Drive development and deployment of AI solutions, translating business needs into product requirements, managing backlogs, and coordinating cross-functional teams.

Plan, execute and document bioreactor cultivations; develop data models and machine learning approaches for bioprocess development; apply DoE and multivariate analysis; lead and coordinate upstream experimental teams; author development reports and hand over processes to pilot/commercial sites; support deputy upstream lead responsibilities and integrate sustainability-by-design principles.

Constructor University offers Ph.D. positions for MSc graduates in Computer Science focusing on AI and ML, including research and an industrial internship.

Design and implement automations and scalable workflows; work with data and automation tools; build autonomous agent systems for pricing, market analysis and forecasting; manage projects end-to-end; design data architectures and maintain clear documentation to deliver measurable business impact.

Lead the planning, execution, and delivery of robotics projects, coordinating cross-functional teams and managing budgets, timelines, and risks.

Lead new-business enterprise sales within an assigned territory (≈70% new logos, 30% account growth). Prospect, qualify, and close complex deals with C-level IT and business stakeholders using value-based selling, ROI/TCO models, MEDDPICC/MEDDIC, and coordinated cross-functional support to exceed quota and develop referenceable customers.

This role involves driving AI and Data sales strategies, engaging with senior executives, and achieving sales quotas by delivering tailored solutions that transform customer operations.

Design and productionize ML systems for advertising using multimodal data (image, video, audio, text, structured). Improve MLOps and data platforms, build scalable data pipelines, monitor models, collaborate cross-functionally, and drive team processes and product impact.

Lead development and execution of ESG products, ensure regulatory compliance, collaborate with UI/UX and engineering, drive data-informed roadmaps, and adapt product strategy to evolving ESG/GRC legislation.

The Account Executive will establish and scale the market presence in Austria, acquiring customers, managing success efforts and owning the full sales cycle.

Lead business development in Life Sciences, drive client acquisition, and develop AI & Data strategies. Mentor teams and foster collaborations across departments.