Top Artificial Intelligence Jobs in Munich

Lead research and analysis of the enterprise AI services market, build market-sizing and forecasting models, publish thought leadership, advise C-level clients, present at events, support sales and peer review, mentor junior analysts, and drive research process improvements to deliver actionable insights on AI services and competitive dynamics.

The HQ AI Enablement Lead will assess AI readiness across departments, develop AI tools, support staff in automation, and create scalable resources to enhance efficiency and productivity.

Design and implement AI-powered UI features for JetBrains IDEs using Compose Multiplatform and Swing. Collaborate with designers, improve UI architecture and component reuse, ensure responsiveness and performance in complex desktop applications, and contribute to UI testing and developer tooling features.

Design and implement next-generation AI-powered features for JetBrains IDEs: integrate and enhance AI agents, build novel IDE capabilities, evaluate performance and reliability, and own end-to-end feature delivery.

Lead design and implementation of AI-native features for PyCharm and Python tooling. Architect integrations (MCP, agents), prototype and ship features, guide engineering decisions, evaluate AI tools/providers, and expose IntelliJ Platform capabilities to AI workflows while collaborating with product, ML, QA, and senior developers.

The Senior Product Manager will own the strategic roadmap, lead market research, manage monetization strategies, and mentor product managers within an AI and EdTech environment.

As a Founding Engineer, you will develop AI solutions with 3D computer vision, optimize networks, and integrate them into real-time systems, alongside experienced founders.

As a Founding AI Engineer, you will develop AI systems for construction efficiency, focusing on agent harness engineering and project memory integration, working directly with founders in a hybrid environment.

Lead the design and deployment of advanced AI algorithms for Battery Management Systems, focusing on edge AI and real-time monitoring, collaborating across teams to ensure compliance with automotive standards.

This role involves driving AI, Data, and Digital sales in the financial services sector, focusing on complex enterprise deals and relationship management.

As an AI Research Engineer focused on AI Safety, you will develop techniques for evaluating AI products, enhance decision-making via uncertainty quantification, and ensure robustness against adversarial attacks.

Design, build, and maintain production-grade GenAI systems and Python-based APIs. Implement end-to-end RAG, vector DBs, multi-agent systems, and secure MCP infrastructure. Optimize LLM integrations (OpenAI, Anthropic), event-driven architectures, and real-time messaging. Collaborate cross-functionally, create and refine prompts, and ensure reliability, scalability, and security in production generative AI solutions.

Own end-to-end product for a slice of Nebius AI compute platform: define strategy, APIs, and roadmaps; drive cross-team delivery; conduct structured discovery; measure adoption and platform outcomes; engage engineering as a technical peer; and close operational feedback loops to improve reliability and customer experience.

Lead Full Stack Engineer owns design-to-production of an AI-first repossession and remarketing platform. Shape architecture, build scalable resilient services, integrate LLMs/GenAI for validation and document processing, drive technical decisions, reduce technical debt, operate production systems, and mentor engineers while working in cross-functional agile teams.

Support Shopify administration and Flow automations, maintain Google Apps Scripts and API integrations, manage access and SaaS subscriptions, configure Recharge subscription flows, and document processes. Use AI tools (Claude, ChatGPT) and n8n to build automations, test end-to-end, and liaise with vendors and internal teams to keep e-commerce systems running smoothly.

The Principal AI Scientist will architect and implement advanced Generative AI models, train and optimize LLM systems, and collaborate across teams to enhance performance in AI applications.

Looking for a Senior AI Research Scientist to finetune LLMs, create conversational workflows, and innovate methods for faster inference.

Lead the product strategy for AI agent testing and observability, ensuring tools for testing agent behavior and quality scoring are user-friendly for non-technical users in B2B environments. Coordinate across multiple teams to deliver integrated solutions.

Join the Jimdo AI team to architect and build the Companion system, integrating AI to assist microbusiness owners in various business tasks and workflows while ensuring system intelligence improvements and architectural scalability.

As a Principal AI Researcher, you will lead AI research projects, mentor teams, and implement innovative AI technologies for Veracode's products.

Lead technical initiatives for Generative AI in logistics, design architecture, implement evaluation pipelines, and mentor engineers.

The role involves developing sophisticated LLM-powered autonomous agents, integrating intelligent services, and ensuring systems' scalability and reliability. Responsibilities include architecting AI modules, leading agile sprints, and monitoring production lifecycle with CI/CD roles.

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

The role involves defining and building advanced system architecture for autonomous driving using agentic AI and robotics, requiring hands-on expertise.

Lead enmacc's transition to an AI-first trading platform by developing AI solutions and predictive models tailored for energy trading, overseeing a unified Data & AI team, and driving product innovation.