Top Artificial Intelligence Jobs in Germany

Lead development and execution of AI and automation roadmap for Western Europe Amazon e-commerce. Build AI-driven discovery and recommendation strategies, create automated reports and predictive analytics, drive AI tool adoption, ensure responsible AI governance, and run test-and-learn pilots to scale successful e-commerce AI use cases across Amazon markets.

Lead the design, deployment, and governance of enterprise AI platforms (Copilot, Gemini, Power Platform, Workato). Build secure, scalable integrations, enforce IAM and security controls, collaborate with Security/Legal/Data/Business, mentor engineers, shape AI strategy, and enable responsible AI adoption across the organisation.

Lead strategy and execution for SumUp's AI Assistant in customer support: set roadmap for conversation design, own performance metrics (resolution, escalation, save rates, CSAT), build QA framework, and manage a team of seven analysts while partnering with Product, Engineering, and Operations to drive measurable improvements.

Drive full-cycle sales from lead qualification to closing, focusing on enterprise clients. Advocate for customer success and collaborate on revenue development strategies.

Lead design, development, testing, and maintenance of software products. Drive technical architecture, collaborate with Product, Engineering, and QA, optimize performance, build APIs and integrations, and apply AI tools to improve development efficiency and quality within Agile processes.

Lead design and delivery of scalable AI solution architectures, own end-to-end AI projects from concept to production, implement MLOps and CI/CD, monitor and optimize performance, manage and mentor an AI/data science team, and collaborate with AI leadership and business units.

Lead discovery, definition, and delivery of AI-powered B2B SaaS features. Research auditors' needs, prototype with LLMs/agents, collaborate with engineering/design, run customer interviews, write PRDs, and iterate to ship reliable audit-quality products.

Lead engineering enablement across eight companies to cascade CTO AI vision into team discipline. Detect and package successful practices, run cross-company diffusion, operate cadence of validation and demos, measure adoption and outcomes, triage deeper needs to PoCs/workshops, and capture reusable artifacts and metrics.

As an AI Operations Intern, you will support onboarding, manage customer journeys, enhance internal processes, and collaborate with teams to improve AI products.

Operate and support large-scale AI infrastructure across datacenters: monitor production GPU-backed Kubernetes platforms, troubleshoot hardware, networking and platform incidents, participate in incident response and RCA, improve observability and automation, and maintain operational runbooks.

Provide research and advisory to global CFOs and Controllers on transforming controllership processes (AP, AR, financial close) using AI, automation and finance technologies; produce published research, vendor evaluations, and client-facing presentations; collaborate with analysts and deliver strategic, actionable recommendations to improve financial reporting and automation outcomes.

As a founding product hire, you'll define the product vision, create user journeys, maintain the product backlog, and conduct user research for a cybersecurity platform.

The role involves sourcing and evaluating AI infrastructure founders, supporting them through early stages of investment, and representing the firm with technical expertise.

Lead public affairs strategy in Germany and the EU, engaging with government and regulators on AI, semiconductors, and computing policies. Build relationships, represent the company in policy forums, and develop narratives for public communications.

As an AI Engineer, you'll design AI services, build NLP and LLM applications, and optimize performance for a global SaaS platform.

Lead product development in the industrial sector focusing on IoT, edge computing, and AI applications. Oversee product lifecycle, conduct market research, and collaborate with cross-functional teams.

As an R&D Engineer, you will design and optimize AI pipelines, integrate LLMs into testing workflows, and analyze semiconductor data.

As a Staff/Senior AI Product Engineer, you will build AI-powered product features, enhance the tech stack, and design AI workflows while collaborating with product teams. Your focus will be on agent-native architecture and improving the codebase for AI agents.

The Chief of Staff will support the CEO in executing company strategy, managing financial operations, applying AI to improve processes, and leading high-impact projects across the organization.

The Senior Software Engineer will focus on Machine Learning model development, data management, model deployment, and staying updated on NLP advancements.

Lead Project & Program Manager drives strategic initiatives for Libra from concept to execution, leading cross-functional teams to deliver market expansion, operational scaling, and commercial programs. Responsibilities include program planning, governance, budget and KPI tracking, risk management, stakeholder alignment, change management, and go-to-market readiness across regions.

Lead development and governance of a centralized catalog of reusable AI components (prompts, agents, templates, RAG patterns). Define standards, manage lifecycle (intake, tagging, publishing, deprecation), ensure compliance with infrastructure and security, collaborate with engineers to productize reusable assets, monitor usage and impact, and support enterprise AI best practices and adoption.

Own and grow the Data Layer: build and operate ingestion, transformation, reconciliation, and serving pipelines (raw→refined→curated). Use agentic AI tools to accelerate delivery, ensure data correctness, and partner with backend, AI, and product teams to define reliable data contracts.

Design and operate an AI-native gameplay analytics ecosystem: define tracking, storage, processing, and semantic layers; build AI-driven reporting and agentic workflows; ensure data correctness; generate product intelligence and set organization-wide agent standards.

Create end-to-end game and marketing assets using AI-assisted workflows. Build and maintain ComfyUI pipelines, combine AI outputs with Illustrator/Photoshop/After Effects, animate assets, ensure visual consistency with the Empire style, test and integrate new AI tools, and collaborate with art, product, CRM, design, and development teams.