Top Artificial Intelligence Jobs in Munich

As Head of Product for Agentic AI, oversee AI-driven features within the WFM platform, manage customer insights, product vision, and stakeholder alignment, ensuring successful delivery and market introduction of innovative solutions.

Lead technical strategy and execution of AI solutions for enterprise customers. Oversee project teams and ensure high-quality deployment of AI products. Engage in coding and mentoring, while driving innovation and collaboration with product and engineering teams.

The role involves deploying AI solutions, collaborating with clients on technical challenges, and contributing to open-source projects. You will also be involved in fine-tuning LLMs and providing pre-sales technical guidance.

The Applied AI Engineer drives product adoption, manages customer relations, and collaborates on state-of-the-art GenAI applications, ensuring successful deployment across industries.

Design and maintain the infrastructure for AI applications, enabling secure and efficient access to LLMs while ensuring observability, governance, and collaboration with AI software engineers.

As a Machine Learning Engineer, you'll develop and improve ML models for geospatial analytics, collaborating with various teams to enhance performance and reliability of ML systems.

As an AI Deployment Engineer, you will work with startups to optimize AI workflows, prototype solutions, and improve model quality through collaboration with research and product teams.

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

Lead end-to-end production of 9:16 short drama series (1-2 series, 10-15 episodes each). Create scripts, direct, edit, and finish episodes using the companys AI tools. Collaborate with AI copilot, content creators, tech and exec teams while iterating quickly and maintaining character consistency and high performance.

As a Senior Sales Engineer, you will work closely with the sales team to deliver technical support, create demonstrations, and recommend solutions for clients using NiCE technologies in the DACH and France region.

The Senior Agentic AI Engineer will develop cutting-edge GenAI solutions, design high-performance AI modules, and ensure system integration while leading cross-functional teams.

Lead the architectural direction for Generative AI initiatives, establish CI/CD pipelines, mentor engineers, and drive AI experimentation for logistics solutions.

The role involves testing and debugging AI clusters, maintaining hardware, and collaborating with development teams to resolve issues across networking components.

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.

As Senior AI Engineer, you'll build AI capabilities, implement LLM integrations, automate tax operations, and influence the AI tech stack.

The Sales Development Representative will identify potential manufacturing customers, initiate conversations, qualify leads, and work closely with Account Executives to enhance sales pipeline and strategies.

As a Principal Full Stack Engineer, lead the development of the GenAI platform, design full-stack applications, and mentor engineers. Build scalable systems for AI agents affecting key industries, ensuring security and reliability.

Design, develop, and maintain Python and Go microservices for data ingestion and processing; integrate backend services with BigQuery and cloud data platforms; implement REST APIs; build scalable data processing pipelines using Apache Beam and Dataflow; test and troubleshoot distributed systems; review designs, estimate work, mentor junior developers, and drive performance and reliability improvements.

The role involves evaluating and reviewing AI-generated outputs, ensuring cultural relevance and accuracy, and providing annotations for model improvement.

Seeking a Senior Full-Stack Engineer to develop AI-driven web and mobile applications, focusing on scalable architectures and API integrations. Collaborate with product teams to translate features into technical solutions.

Design, train, optimize, and deploy production-ready computer vision models for image and video analytics. Prepare and manage datasets, integrate models into services, ensure performance and scalability, and collaborate with cross-functional teams while maintaining documentation and code quality.

Drive the product lifecycle of B2B AI systems, enhancing corporate customer interactions through intelligent tools like chatbots and voice assistants while analyzing performance metrics and identifying innovation opportunities.

Lead technical strategy and delivery of AI solutions, managing teams of Applied AI Engineers and directly coding critical project components.

The Product Manager for AI Platform will define and operationalize AI capabilities, working with technical teams to enhance client experience and ensure regulatory compliance while managing product development.

As a Lead/Staff Full Stack Engineer, you'll design and develop full-stack applications and AI agents for the GenAI platform, focusing on rapid deployment and impactful decision-making for various industries. You'll also mentor engineers and lead major projects.