Top Artificial Intelligence Jobs in Munich

The AI Business Development Manager will drive growth strategies, collaborate with leadership, support AI proficiency, and engage with C-level customers to enhance sales of AI products.

Assist the Employment Law, Privacy, Ethics & Compliance Team with data privacy compliance, manage data requests, support ISO audits, and analyze business processes.

The role involves technical leadership and advisory for AI and data strategies, engaging C-suite customers, and designing tailored solutions. It includes presales consulting, delivering demos, and thought leadership on AI applications.

The Senior Solutions Engineer collaborates with customers to design and sell innovative internet solutions, manage technical queries, and support internal teams, focusing on cloud and security technologies.

Lead the integration of AI in R&D to enhance engineering efficiency and quality, driving global adoption and process improvement.

As a Working Student in Applied AI Brand Solutions, you will prototype AI pilot projects, develop AI avatars, support web integrations, and collaborate with various stakeholders to enhance brand operations using AI.

This role involves driving AI and Data sales strategies, engaging with senior executives, and achieving sales quotas by delivering tailored solutions that transform customer operations.

Join a leading healthcare software provider to innovate in eHealth. Seeking AI enthusiasts with strong analytical skills and adaptability to help shape the future of healthcare.

The Field CTO will advise C-level executives, lead data and cloud strategy for global accounts, architect innovative solutions, and drive revenue through strategic partnerships.

Support and implement global pricing strategy, provide pricing recommendations, lead fee negotiations, perform quantitative analysis and financial modelling, improve pricing processes and reporting (including SAP data entry), oversee pricing research and competitive intelligence, adopt AI/technology for fee modelling, and lead a high-performing pricing team.

The Sales Development Representative Manager will lead an SDR team, focusing on hiring, training, achieving sales goals, and collaborating with regional sales leaders.

The Scientific Editor will evaluate submissions, build networks for contributions, and collaborate on journal strategy to enhance impact.

As an Applied AI Solution Consulting Intern, you will analyze customer data, collaborate on solutions, and present findings to C-level executives, driving AI strategy and business development for the DACH market.

As an Intern in AI & Management Consulting, you will analyze customer data, identify business challenges, create value propositions, and present findings to executives, supporting strategic business activities.

As Product Counsel, you will advise on legal matters related to consumer protection, AI, privacy, and financial regulations, collaborating across teams.

The Graduate Program at Scalable Capital combines learning and practical experience in Data & AI Engineering, featuring rotations across engineering disciplines, mentorship, and development opportunities.

As a Staff/Senior AI Engineer, you will develop production-ready coding agents and improve AI model capabilities for JetBrains' software development tools. Collaborating with teams, you'll focus on model training, evaluation, and product integration to enhance user experience.

Lead and mentor a team of AI Deployment Engineers to ensure successful Codex adoption, guiding customer implementations and establishing best practices for AI-enhanced development workflows.

As an AI Solutions Engineer, you will design and implement AI-driven automations to enhance workflows and eliminate bottlenecks, collaborating across teams to innovate solutions.

The Senior AI Product Manager will lead cross-functional teams to define, develop, and manage B2B SaaS products, focusing on customer value and market needs, while utilizing Agile methodologies and Generative AI technologies.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.