Top Artificial Intelligence Jobs in Germany

As an intern, you will develop and optimize data pipelines and algorithms, conduct statistical analysis, and prepare reports while supporting vehicle diagnostics experiments.

The role involves selling IFS Loops, an AI-driven solution, targeting industrial markets, with a focus on consultative sales and driving revenue growth.

The Product Manager will oversee product delivery, integrate AI tools, conduct user research, define success metrics, and coordinate between teams to ensure business success.

Manage AI-driven content creation projects, from analysis and requirement gathering to roadmap ownership and stakeholder collaboration, ensuring value realization and adoption across departments.

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

Design and implement AI solutions in a collaborative team environment while documenting processes and presenting findings to stakeholders.

This role involves architecting and building AI agent systems, developing full-stack features, and shaping the technical direction of an early-stage startup's AI platform.

As a Principal Software Engineer, you'll lead multiple teams in Risk Management, designing cloud-based solutions, mentoring engineers, and driving innovation.

Seeking an experienced Fractional CTO or AI Strategy advisor to guide AI product direction and architectural decisions. Responsibilities include providing strategic advice on AI implementation pathways, creating reference architectures, and ensuring quality checks. Must possess extensive experience in managing complex AI systems and data pipelines, particularly at scale.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

As a Data & AI Consultant, you will drive the business through project proposals, tech implementations, and client consulting while supporting team development and acting as a thought leader in the field.

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.

Lead technical delivery with OpenAI partners across EMEA to design, deploy, and scale production-grade AI solutions. Provide hands-on prototyping, integration, architectural guidance, and governance while collaborating with partner teams and internal stakeholders to ensure reliability, security, and repeatable deployment patterns.

You will design, train, and deploy agents in multi-agent environments, enhancing our reinforcement learning capabilities and integrating cutting-edge AI into production systems.

As a PhD Intern, you'll research and develop methods for adapting LLMs, build multimodal models, explore reinforcement learning, and evaluate user-centric outcomes, collaborating closely with teams to prototype and document findings.

As an AI-Native Content Strategist, you'll create automated content pipelines, identify trends for immediate content production, and engage directly with the CEO to maximize content impact across multiple platforms.

The Senior AI Engineer will design scalable AI systems, focusing on LLM-powered agents and automation, optimizing delivery operations globally.

The AI / Machine Learning Researcher will conduct applied research, develop prototypes, and work with data to create AI-driven features related to home design.

You will build production-ready systems, integrate AI-driven features, and collaborate with engineers to enhance our product's functionality.

Lead Nexi's enterprise-wide AI transformation program, collaborate with stakeholders, promote ethical AI use, and monitor AI trends for effective implementation.

The role involves building AI-powered systems, collaborating with ML engineers and scientists, and contributing to software development while mentoring junior engineers.

As an Engineering Manager of the AI Platform, you will lead the strategy and execution of AI-powered features, manage team performance, drive high-impact projects, and build partnerships with stakeholders.

Embed with strategic customers to build production applications using Claude/LLMs, deliver deployment artifacts (MCP servers, sub-agents, agent skills), provide white-glove support, identify repeatable patterns, and travel frequently to drive enterprise AI adoption while ensuring safety and reliability.

Lead and mentor a team of Applied Scientists and AI/ML Engineers to design and deliver production-grade AI solutions across structured CRM and unstructured data. Drive technical strategy for agentic workflows, RAG/vector DB systems, and real-time reasoning. Partner with AI Platform on LLMOps and cloud infrastructure, act as a technical authority, and contribute as a high-impact individual contributor to ship customer-focused AI products.

The role prioritizes driving Data & AI projects, developing tailored offerings, managing implementations, and supporting talent development as a thought leader in the field.