Top Artificial Intelligence Jobs in Munich

The Senior GTM Engineer at Xentral will develop AI-driven workflows, ensure efficient data flows, integrate marketing tools, and create feedback loops to enhance marketing processes.

The Senior Developer Relations Manager will drive AI technology adoption by engaging with ISVs and enterprise leaders, provide technical leadership in AI and computer vision, and lead thought leadership discussions for NVIDIA's AI ecosystems.

Lead the design and deployment of AI and automation solutions, focusing on scalable applications, automation of workflows, and integration of LLMs in operational processes.

The AI Engineer will develop and maintain AI infrastructure, implement ML solutions, curate datasets, and collaborate with teams to enhance products.

The AI Engineering Intern will design, test, and deploy scalable AI systems, integrate models, and work on inference optimization, collaborating with data scientists on complex problems.

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.

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.

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.

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.

As an AI Research Engineer at Helsing, you'll architect and enhance deep learning frameworks, optimize infrastructure for distributed training, and develop strategies for large datasets while collaborating with a cross-functional team.

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.

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

As a Deployed AI Engineer, you'll integrate software into systems, collaborate on customer requirements, and troubleshoot issues while showcasing AI capabilities.

Lead the AIVM product development, overseeing architecture, strategy, and execution while collaborating across teams for successful platform launch.

Develop and optimize AI pipelines for workflow intelligence, experiment with models, and collaborate to integrate AI systems into workflows.

This role involves defining AI safety measures, governance patterns, and privacy guidance. You'll enhance the AI platform, ensuring safe and efficient product deployments.