Top Artificial Intelligence Jobs in Munich

Drive AI, Data & Analytics sales for enterprise accounts by developing account plans, engaging C-suite stakeholders, coordinating cross-functional teams, delivering demos and solution roadmaps, qualifying high-value opportunities, managing end-to-end sales cycles, enabling partners, and ensuring adoption to drive renewals and expansion.

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.

As an AI Deployment Architect, you will design, deploy, and scale AI solutions, collaborate with customers and teams, and drive innovation in AI deployments.

The Partner Management Executive will lead and expand AI consulting partnerships, executing go-to-market plans, developing relationships, and driving joint business impact.

Lead partner activation efforts in AI, refine value propositions, build partnerships, drive business impact, and shape AI-transformation programs.

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

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

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.

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.

The AI Solutions Engineer will assist customers in implementing and scaling ML pipelines, collaborate with engineering teams, and provide best practices for AI workflows.

Design, develop, and deploy infrastructure for AI/ML initiatives. Collaborate with teams to create scalable solutions and maintain data serving capabilities.

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

Lead Solution Consultant (Value Engineer) for Financial Services & Insurance responsible for driving end-to-end customer value with Celonis. Discover and frame high-impact use cases, run value assessments and PoVs, build demos and business cases, run workshops, realize and present measurable value, and scale platform adoption and expansion while engaging C-level stakeholders and collaborating with sales, partners, IT and product teams.

The Senior AI Delivery Lead will expand AI delivery capabilities, lead client engagements, ensure innovative AI solutions, and enhance team leadership and stakeholder management skills.

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

As a Product Manager for the AI Platform, define and operationalize AI capabilities, collaborate with cross-functional teams, and ensure compliance and effective integration.

The role involves developing automated testing infrastructure, collaborating with teams on test scenarios, and ensuring the quality of AI systems with a focus on functional and performance testing.

The AI Engineer (SLAM) designs and implements robust SLAM systems for humanoid robots, ensuring real-time localization and mapping in diverse environments, requiring deep knowledge in robotic vision and SLAM frameworks.

Seeking an AI Engineer to develop world models for general-purpose humanoid robots, focusing on navigation and environmental adaptation. Relevant experience in model-based reinforcement learning and deep learning architectures is essential.

Develop and optimize vision-language-action models, build multimodal representations, integrate LLM reasoning with action control, deploy models, and ensure safety in robotics applications.

Design and optimize reinforcement learning algorithms for humanoid robots, integrating with hardware and collaborating across teams to ensure system performance and efficiency.

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.

As a Solutions Architect, you will collaborate with customers on integrating NVIDIA robotics solutions, oversee the Robotics Space in Munich, deliver training, and engage with engineering and sales teams.

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 a Machine Learning Engineer, you'll develop solutions analyzing surgical videos, contribute to software components for medical use, and improve surgery outcomes.