Top Artificial Intelligence Jobs in Munich

As an AI & Management Consulting Intern, you will analyze customer data to enhance business processes, create actionable use cases, and present findings to executives, all while collaborating on strategic business development for the DACH market.

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

The Senior Management Consultant will lead value generation in the public sector using AI and data, create business cases, and manage customer growth with the Celonis platform.

Lead and mentor safety engineers while ensuring high-quality functional safety requirements and deliverables. Analyze safety performance, conduct safety management, and drive workflow improvements for automotive products.

Manage and grow AI influencer brands by refining identities, optimizing content strategies, and driving performance across social platforms, focusing on audience connection and engagement.

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.

Advise financial institutions on AI governance and compliance with EU AI Act and GDPR. Conduct model lifecycle risk assessments, design governance and compliance-by-design frameworks, support validation, documentation and audit readiness, and advise senior stakeholders on AI risk mitigation.

The Senior Product Manager will collaborate with clients and teams to develop product strategies, oversee project delivery, and ensure solutions meet client needs with a focus on innovation and accountability.

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

The Solution Architect will document AI advancements, lead deployments, support customer adoption, and work on telecom applications using NVIDIA technology.

Develop and industrialize AI-driven methods for engineering workflows, automate mechanical systems, and conduct applied research collaborating with teams.

Interns will collaborate with the GenAI team to develop chatbot solutions using Azure, write efficient code, conduct testing, and document processes.

As a Partner Solutions Architect, you will build and maintain technical relationships with partners, support solution development, and enable AI practices to drive revenue.

Develop production automotive software for AI inference using C++. Collaborate on real-time AI systems for vehicles, integrating machine learning models and optimizing performance.

The role involves researching and developing GPU acceleration techniques for deep learning and other AI workloads, working with experts and optimizing complex AI algorithms, and influencing hardware design at NVIDIA.

Responsible for designing and developing software for satellite communication management, including AI integrations, while supporting subcontractor coordination and software validation.

The AI Support & Knowledge Manager will optimize AI performance, manage support content, design conversation flows, create automations, and oversee AI support KPIs.

As an AI Engineer, you will develop personalized learning experiences leveraging large language models, drive technical product decisions, and ship features to improve education outcomes globally.

As a Consulting Intern, you will work with the AI & Data team to perform advanced analytics, develop predictive models, and assist in client communications for strategic consulting projects.

Lead the core biometric recognition technology team, managing the full lifecycle of ML systems focused on iris and face recognition while ensuring privacy and reliability at scale.

The Software Engineer, AI will evaluate, compare, and refactor AI-generated code while providing detailed explanations for decisions. They will engage in asynchronous work to enhance large-language model training.

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 AI Product Sales Specialist will drive sales execution for Snowflake's AI/ML products, develop sales strategies, and engage with customers to optimize their use of Snowflake's platform.

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.

Lead technical delivery and deployment of AI solutions with OpenAI partners, providing architectural guidance and support in production environments.