Top Artificial Intelligence Jobs in Germany

Lead and grow strategic automotive customer relationships, drive account planning, forecasting, and commercial opportunities. Coordinate cross-functional teams to deliver customer success, apply AI tools and automation to improve sales efficiency and insights, and identify process simplification and improvement opportunities.

Design and deliver AI-powered experiences for Datadog Notebooks. Build reliable backend services integrating LLMs and AI agents, manage model nondeterminism with evaluation/testing frameworks, partner with product/design, provide technical leadership, and operate production systems (on-call).

As a Sr. Applied AI Engineer at Zapier, you will build and enhance AI platform capabilities, focusing on LLM Ops and ML Ops to support scalable AI development across teams.

Develop and research post-training methods for coding-focused LLMs, design and run experiments, build prototypes into products, collaborate with researchers, engineers, and MLOps, and communicate technical results to technical and non-technical audiences.

Design and maintain scalable data pipelines, connectors, and reusable data products to make enterprise data AI-ready. Enable RAG, semantic search, agentic workflows, and production deployment of AI solutions while enforcing data quality, governance, metadata, security, and cross-team collaboration.

Lead AI Value Analyst responsible for building and maintaining business cases for AI initiatives, estimating and tracking benefits, and reporting ROI. Partners with stakeholders, Finance, and AI CoE to quantify productivity, cost, revenue, and risk impacts, prioritize opportunities, validate data and assumptions, and produce dashboards and presentations to communicate realized value and governance across the AI portfolio.

Lead strategic, post-sale engagements for top customers to drive AI-driven process transformation with Celonis. Own executive relationships, program delivery, adoption, value realization, change management, team mentoring, and cross-functional coordination to ensure measurable business impact and customer advocacy.

Serve as a technical presales advisor to design and present AI, data, and custom application solutions on the ServiceNow platform. Lead discovery with C-suite stakeholders, build demos and POCs, respond to RFPs, drive adoption and value realization, and provide thought leadership on AI operating models, governance, and ROI.

Design, build, and operate an enterprise AI Hub providing shared runtime, CI/CD, model registry, observability, governance, and developer tooling to enable scalable, secure production AI and self-service capabilities across cloud and hybrid environments.

Design, build, deploy, and optimize production-grade generative AI agents, copilots, and intelligent workflows. Lead end-to-end delivery from solution design and prompt engineering to deployment, monitoring, and continuous improvement. Partner with business stakeholders to transform processes for AI-first execution, define KPIs, ensure governance and security, provide training and change management, and contribute reusable frameworks and best practices across the AI Center of Excellence.

Lead a Germany-based Global Platform Enablement team to evolve platform capabilities for AI enablement and global support. Drive technical direction for reusable AI platform features, architecture, observability, governance, and developer experience while partnering with cross-functional and US-based platform leaders. Build team capability, guide architectural tradeoffs across automation and agentic systems, and ensure operational excellence and alignment with regulatory and regional requirements.

Build and maintain evaluation frameworks, observability, and reliability practices for AI/LLM-powered workflows. Define metrics (SLOs/SLIs), monitor drift and hallucination risk, design guardrails for multi-agent systems, support model selection and platform integration, and collaborate across product, security, and data science teams while participating in on-call rotations.

Support the Inhouse Consulting team on AI-driven strategic projects: conduct analyses and benchmarking, identify and prioritize AI use cases, design operating models, run change-management programs, use AI tools to automate tasks, and help Business Leads implement strategic solutions.

Lead distributed European engineering teams to build a Field-to-Cloud ecosystem. Drive cloud architecture, AI-native engineering practices, platform delivery, roadmaps, governance, and process excellence while mentoring teams and coordinating with global stakeholders.

Support the Social Media team by coordinating the creator community, monitoring inbound creator interest, shortlisting leads, organizing social assets in the DAM, gathering campaign outputs, preparing reports and recaps, and handling administrative tasks to scale creator and content efforts.

The Pathology Scientist will oversee pathology for clinical trials, support R&D activities, lead project teams, and ensure compliance with regulations.

Lead the regional model framework for transaction monitoring, overseeing model development and implementation while collaborating with various teams to ensure compliance and efficiency in identifying suspicious activities.

Citrine Informatics invites applicants to submit resumes for general opportunities. They review applications periodically for potential new roles in AI-driven materials and chemicals.

Lead global implementation and standardization of the CAM landscape, plan and coordinate international CAM rollouts, develop and optimize NC programming and post-processors, integrate machine tools and automation, advance the Digital Thread and end-to-end digital manufacturing processes, evaluate CAM/CNC/AI technologies, and support international digitalization projects.

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 strategic customer engagements to drive AI-driven process transformation using Celonis. Act as trusted advisor to C-level stakeholders, manage cross-functional teams, ensure value realization, adoption, change management, and customer advocacy while mentoring teams and building Centers of Excellence.

Support development of an AI-based regulatory management system and tools using MS Power Automate/PowerApps. Analyze global vehicle homologation regulations, identify specification differences, and help shape the digital homologation strategy. Contribute independently to projects within a cross-location team.

Lead and coordinate complex enterprise customer projects for robotics solutions, acting as primary customer contact. Manage timelines, budgets, risks, and stakeholder communication across engineering, software, AI, and sales teams to ensure successful implementations and identify growth opportunities.

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.

Lead partner and ecosystem marketing for NEURA: build joint go-to-market plans with technology partners, grow the Neuraverse/NEURA Gym developer community, enable partners with sales kits and training, run co-marketing campaigns and events, and align Product, Sales, and Leadership on partner-facing messaging.