Top Artificial Intelligence Jobs in Munich

Lead company-wide AI initiatives: identify high-impact automation use cases, design and implement AI-powered workflows using Make, Claude and Pinecone, collaborate cross-functionally, measure impact, and enable teams to adopt and optimize AI-driven processes.

Develop, maintain, and lead software platforms, tools, and infrastructure for regulated computational pathology products. Implement production-quality features, follow V-model regulated development practices, support risk assessments, establish engineering controls and documentation, collaborate cross-functionally, provide technical leadership, and mentor engineers to ensure compliant, traceable, and scalable AI-enabled medical software delivery.

Design, implement, and maintain software platforms, tools, and infrastructure for regulated AI-enabled computational pathology products. Ensure compliance with regulated development practices (V-model), support risk assessments, verification/validation, traceability, and lifecycle documentation. Provide technical leadership, process improvements, and mentorship across multidisciplinary teams to enable scalable, compliant AI software delivery.

Build and maintain AI-powered web applications: design React frontends and Django/Python backends, integrate ML models/LLMs, create scalable APIs, collaborate with data scientists, contribute to CI/CD, infrastructure automation, and cloud deployments while improving code quality and performance.

Lead design and delivery of AI-enabled SDLC platforms for embedded software: orchestrate multiple GenAI systems and agent frameworks (LangChain, AutoGen, CrewAI), integrate deeply with Atlassian tools (Jira, Confluence, Bitbucket) and CI/CD pipelines, ensure governance, scalability, and compliance with MISRA, ISO 26262, ISO/SAE 21434 and ASPICE.

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

Drive independent, high-impact research on frontier AI topics, publish findings, collaborate widely, and mentor new researchers in the field.

Design and implement GenAI solutions for clients and internal use. Develop multimodal agents, automate workflows, and build scalable deployment tooling using Python, Databricks, SQL, Docker, LangGraph, and cloud platforms (Azure/AWS/GCP). Document processes, present to stakeholders, and stay current on ML and generative AI techniques while collaborating with the AI team.

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.

Work with customers to integrate procurement and ERP data, build scalable ETL pipelines, configure the Tacto platform, quantify value cases, and present ROI. Support technical onboarding, develop reusable analytics and AI-native workflows, and collaborate cross-functionally to accelerate adoption and influence product evolution.

As a Senior Data Scientist, you'll build core AI capabilities, automate tax operations, implement AI architecture, and mentor junior staff.

Lead AI architect role supporting EMEA consulting: develop reusable AI consulting solutions, support sales with technical discovery and scoping, run in-depth workshops, and act as lead architect on complex AI projects. Drive adoption of Red Hat AI technologies, enable regional teams, and ensure solutions meet customer ROI while handling sensitive customer information.

Build and scale agent runtimes, SDKs, harnesses and evals for industrial AI; improve ontology, tooling, sandboxing and observability; handle multimodal industrial data and millions of concurrent LLM requests; own AI infra and support FDEs in production.

Build and ship production-grade AI features and agent/LLM-powered workflows for analytics and data engineering. Rapidly prototype, iterate with users, integrate with internal tools, and ensure scalable, observable solutions.

Lead end-to-end organic growth programs for B2B tech clients, owning strategy, execution, deliverable quality, renewals, and commercial-impact metrics across a portfolio of up to ten accounts. Prioritize work, set and keep commitments, evaluate recommendations, and partner with a production team that executes briefs, decks, and data.

Citrine Informatics invites applicants to submit resumes for general opportunities. They review applications periodically for potential new roles in AI-driven materials and chemicals.

Design rigorous, deterministic advanced mathematics problems and provide complete verified solutions to train and evaluate state-of-the-art AI models. Produce reproducible, well-documented reasoning and, when needed, computational workflows using Python and scientific libraries. Ensure problems target deep mathematical reasoning and are technically precise.

The role involves integrating AI tools into .NET and C++ applications, optimizing models for performance, and collaborating with engineers on deployment and monitoring.

As an AI Automations Engineer, you will design and build tooling for GTM, Operations, and Finance teams, automating processes and enhancing systems with a focus on AI.

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

Build production-grade AI agents, LLM apps, RAG systems and automations for fintech workflows (onboarding, KYC, support, risk, CRM). Work with product and engineering to ship, evaluate, and improve reliable, secure, cost-effective AI-enabled systems that replace manual processes.

The Business Development Rep will qualify clients and manage outreach in AI Cloud sales, engaging technical audiences and developing partnerships.

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 Germany AI strategy and a team of AI specialists to identify, prioritize, build, and scale machine learning, generative and agentic AI solutions across commercial functions, ensuring adoption, measurable value, and compliance with privacy, security, and responsible AI practices.

PhD-level research intern to investigate and prototype 3D computer vision methods (SLAM, VIO, localisation, reconstruction). Survey SOTA, design and benchmark algorithms under real-world conditions, convert ideas into prototypes, and report results to a distributed European team focused on deployable defence-grade spatial perception.