Top Artificial Intelligence Jobs in Munich

As a Senior Sales Development Representative, you'll lead outreach to potential clients, nurture relationships, and drive sales opportunities, focusing on the Finance, Procurement, and Sales sectors.

The Account Executive will drive revenue growth by managing mid-market and enterprise accounts, leading sales engagements, and building trust with C-level stakeholders.

The AI Solutions Architect at F5 will work with sales teams to identify opportunities, provide technical expertise in AI technologies, and advocate for customer needs. This role involves collaboration with product management and mentoring within the solution engineering community, focusing on AI application delivery and security.

The role involves advising on AI and privacy legal issues, supporting product teams, managing compliance, and guiding enterprise customers and internal teams on privacy legislation.

As a Machine Learning Engineer, you'll develop machine learning solutions for medical data analysis, particularly focusing on surgical video processing. You will engage in all phases of the ML development lifecycle to enhance surgical procedures through intelligent software components.

The Founding Engineer will own the end-to-end intelligence pipeline, build AI workflows, manage data architecture, and solve technical challenges in a startup environment focused on pharma solutions.

Join Cellbyte as an AI Engineer to build AI and data systems, solve complex problems, and turn pharma workflows into AI-native systems.

The AI Researcher/Engineer will develop AI agents to autonomously conduct scientific discovery, leveraging AI systems and scientific computing in materials research.

The role involves adapting scripts for dubbing, reviewing translations, evaluating voice performance, and efficiently managing multiple productions based on client demand.

The Data Analyst will create dashboards, analyze billing data, and derive insights for product development and costs related to AI platforms.

The Senior Machine Learning Engineer will design evaluation frameworks, diagnose model performance, develop ML systems, and mentor junior engineers while collaborating across teams.

As Solutions Architect in Applied AI, you'll guide enterprises in adopting and deploying Claude, combining technical expertise with customer engagement to ensure successful implementation.

The Senior Infrastructure Engineer will design and maintain AWS infrastructure for AI/ML workloads, focusing on deployment, security, and collaboration with ML teams.

The Founding Account Executive will manage the full sales cycle, building relationships with technical buyers, closing deals, and collaborating with the CRO to shape pricing strategies and pipeline generation.

Develop computer vision models for object recognition and video understanding while evaluating and improving their performance for real-world applications.

Manage and develop partnerships with AI-native boutiques and consultancies to drive adoption of Anthropic's technology and ensure partnership success across the DACH/CEE region.

As a Principal Forward Deployed Engineer, you'll deploy JetBrains Central in enterprise environments, implement AI governance, mentor teams, and advise customers on AI-native development best practices.

Lead the LLM team, architect systems, oversee model lifecycle, and develop advanced moderation strategies for high-traffic generative AI applications.

The Director of Business Development will drive revenue through creating strategies for new business, managing client relationships, and overseeing sales processes while ensuring high service standards.

Lead AI and machine learning architecture, mentor teams, drive innovation, and evaluate tools for AI systems development across global teams.

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.

Manage the AI orchestration platform, integrating AI capabilities into enterprise applications, ensuring compliance, governance, and technical excellence while leading cross-functional technical initiatives.

Design and implement the user experience for an AI-powered Anti-Money-Laundering platform, focusing on intuitive interfaces, workflow automation, and collaboration with product and engineering teams.

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

The Backend Engineer will develop AI Agents, design scalable systems, integrate ML services, optimize performance, and mentor junior engineers.