Top Artificial Intelligence Jobs in Cologne

The Applied Scientist will solve impactful problems using deep learning models and statistical analysis, translating commercial goals into technical solutions.

AI Engineers at QuantCo design, build, and implement applied AI systems, working with data scientists to optimize inference, develop scalable solutions, and integrate AI into enterprise operations.

Build production agentic capabilities on ClickStack to investigate incidents, write reusable skills, own the agent stack (context, tools, evals, tracing, cost), create MCP servers/SDKs/integrations, and improve latency, cost, and hallucination handling for AI workloads on a petabyte-scale observability platform.

Design and build agentic systems and production infrastructure for an AI-driven financial intelligence platform. Integrate LLMs, manage prompts and tool-calling, develop RAG and retrieval systems, build MCP servers and observability, run LLM evaluation pipelines, optimize performance and cost, and mentor junior engineers.

Provide private equity expertise to evaluate and create high-quality financial and investment content for training AI systems. Review financial models, market analyses, deal documents, support due diligence, deal sourcing insights, and give structured feedback to improve analytical accuracy.

Review and assess equity research, models, and market analyses to improve AI training data. Provide valuation, earnings forecasting, and investment memo feedback using long/short equity frameworks. Contribute to analytical materials, market sizing, and research summaries to enhance financial reasoning in foundational models.

Manage various AI/ML projects from concept to development, coordinating teams, managing risks, and ensuring project goals are met. Responsible for documentation and financial planning.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

Lead enterprise AI strategy, operating model, governance, platform enablement, and CoE to deploy safe, compliant, and scalable AI across R&D, Clinical, Manufacturing, Quality, Commercial, and Corporate functions in a regulated pharmaceutical environment.

Research and develop deep-learning methods for world reconstruction, novel view synthesis, generative image/video modeling, scene completion, and neural rendering. Prototype solutions in Python/PyTorch, improve realism and controllability of generated scenes, build evaluation and agentic-AI research workflows, and collaborate to productize research.

Design, build, and scale intelligent systems using AI/ML across various domains including LLMs, Computer Vision and Speech AI, integrating these into business workflows.

The Senior Solutions Architect will engage in research collaboration, promote NVIDIA software, secure funding, and foster partnerships in AI research.

The AI Engineering Manager will build and lead a high-performing team focused on AI agents, workflow orchestration, and navigating evolving technology, ensuring clarity and delivering impactful results.

The role involves leading design for AI-native products at Synthesia, focusing on improving interaction patterns and enhancing user experience in AI-driven workflows.

The AI Engineer will develop and deploy AI applications, collaborate on the end-to-end pipeline, create backend services, and develop frontend interfaces.

The Senior Networking Consultant will design networking solutions for HPC and AI platforms, support sales teams, and engage with customers to create tailored proposals, leveraging advanced networking technologies and industry knowledge.

The Applied AI Engineer will deploy AI agents, improve voice experiences, build integrations, and contribute to product development while collaborating with Sales and Engineering teams.

Design advanced physics problems for AI training, ensuring problems are challenging, verifiable, and documented with detailed solutions. Use Python for simulations and workflows.

Design advanced physics problems for AI training, create deterministic problems with solutions, and ensure technical precision in outputs.

Design challenging math problems for AI training, ensuring they test deep reasoning and provide unique verifiable solutions. Utilize Python and maintain technical precision.

Design advanced mathematical problems for AI training, write solutions, and ensure technical precision to improve model reasoning.

This role involves designing challenging physics problems for AI model training, ensuring problems have exact solutions, and documenting reasoning. Requires strong Python skills and physics expertise.

As an AI Product Manager at n8n, you'll develop AI-driven product experiences, coordinate with various teams, and innovate through user-centric design, focusing on AI trust and building.

As a Backend Engineer, you'll enhance the Smart Financial Platform, focusing on robust scalable solutions, APIs, and efficient code delivery while collaborating with cross-functional teams.

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