Top Artificial Intelligence Jobs in Munich

Work with strategic customers to design, prototype, and implement AI solutions on the Celonis Process Intelligence platform. Translate business needs into technical solutions (SQL, PQL, Python), build prototypes using generative AI and ML tools, present value to executives, ensure adoption and measurable ROI, and contribute reusable best practices to the Value Engineering Center of Excellence.

Join Welo Data’s Hungarian contributor network for flexible, remote AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create and test prompts for large language models; and assess cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Conduct industry-focused AI research on autonomous agents and world models. Develop models involving large language models, active inference, and optimal policies, including architecture experimentation, fine-tuning, deep-learning agent development, and action optimization. Candidates will work on real-world enterprise problems while pursuing cutting-edge research during a fixed-term three- or six-month fellowship.

Build foundational systems for AI models across data modalities, develop agentic systems and specialized models, and implement reinforcement learning and active inference solutions. The role involves hands-on architecture and product development, requiring Python backend expertise, cloud deployment knowledge, DevOps practices, and the ability to contribute across the technical stack in an early-stage startup.

Build and maintain PHP and Laravel backend services and APIs for a major product release. Own features from design through deployment and monitoring, integrate agentic AI workflows and LLM-based tooling, optimize performance and reliability, improve security, and mentor engineers. Collaborate independently with a cross-functional team on ambiguous technical challenges while delivering production-ready software.

Build and own production agentic AI runtime components, including context construction, retrieval and tool orchestration, ranking, scoring, guardrails, multilingual quality, latency and cost optimization, and evaluation systems. Diagnose production failures through traces and improve agent reliability for customer-facing commerce applications.

Lead enterprise solution architecture for strategic Celonis deployments across multiple clients. Design scalable architectures integrating process intelligence, data, automation, and AI; define AI-agent workflows, validation standards, and reusable delivery patterns. Advise executive stakeholders, support pre-sales, guide complex implementations, mentor deployment teams, establish architectural standards, and translate customer process challenges into measurable transformation outcomes.

Lead enterprise Celonis implementations by translating business needs into data models, process analyses, KPIs, dashboards, automation, and operational solutions. Direct AI agents, validate outputs, configure the Celonis platform, lead discovery and value workshops, quantify impact, manage delivery outcomes, train users, and support adoption. Apply expertise in enterprise processes, ERP systems, and financial metrics while developing scalable solution patterns and maintaining customer relationships. The role requires consulting leadership, technical fluency, English and German proficiency, and travel up to 50%.

Identify and contact manufacturing prospects across Europe, engage operations, production, and quality leaders, qualify leads, and book meetings for Account Executives. Partner with AEs on pipeline, messaging, and market feedback while helping develop the company's go-to-market playbook. The role requires B2B sales experience, strong communication, organization, initiative, and interest in AI, robotics, or manufacturing technology.

Develop technical partnerships with global and regional system integrators and cloud providers. Design joint generative AI solutions, reference architectures, and scalable cloud integrations; support strategic customer deals; troubleshoot complex technical issues; enable partner AI practices through presentations, workshops, hackathons, and developer events; and provide product feedback to influence Anthropic’s roadmap and partner strategy.

Design and deploy AI microservices and LLM-powered applications using Python, REST/gRPC, Docker, and Kubernetes. Build RAG, hybrid search, agent, fine-tuning, quantization, evaluation, and prompt-guardrail systems. Monitor model quality, latency, cost, and security while integrating databases and SIEM/SOC platforms. Establish MLOps, testing, observability, and compliance standards for high-security public-safety environments. Collaborate with security teams on CJIS and FedRAMP audits, with optional travel to Japan and the United States.

Serve as the technical authority and trusted advisor for enterprise customers, account managers, sales teams, partners, and the Elastic community. Responsibilities include understanding customer objectives, designing solution architectures, demonstrating Elastic products, supporting sales cycles, enabling partners, creating technical collateral, gathering customer feedback, and presenting at events. The role requires enterprise presales experience, strong communication and influencing skills, German fluency, continuous learning, and 30% regional travel with occasional international travel.

Own Roland Berger’s enterprise AI orchestration platform and its full lifecycle, including use-case intake, architecture, deployment, monitoring, and improvement. Lead AI projects, platform roadmap, budgets, vendors, adoption, governance, and compliance. Define responsible AI standards for agents, models, data protection, and access control while providing technical oversight and coordinating cross-functional teams. This is an internal leadership role focused on scalable, secure integration of AI capabilities into business applications rather than hands-on development.

Design and implement scalable generative AI and machine learning solutions for client and internal applications. Develop multimodal agents, automate workflows, and build deployment infrastructure using cloud platforms, Docker, Databricks, and LangGraph. Write maintainable code, document processes, present findings to stakeholders and clients, and collaborate on real-world business challenges while keeping current with data science and GenAI advancements.

Join Welo Data’s Swedish AI Trainers Network as a flexible, remote contributor. Participants may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts; and review cultural and linguistic accuracy for AI systems. This is a talent community rather than an active opening. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s remote Kyrgyz contributor network for potential AI data projects. Depending on skills, contributors may annotate text, images, or audio; evaluate search results, advertisements, or chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. This is a talent-community opportunity rather than an active job opening.

Join Welo Data’s Tamil contributor network for potential remote AI projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; prompt creation; and cultural and linguistic quality review. This is not an active opening. Projects vary in length and compensation, with details provided before each assignment.

Join Welo Data’s Romanian contributor network for flexible, remote AI projects. Potential work includes annotating text, images, or audio; evaluating search results, advertisements, and chatbot responses; creating prompts; and reviewing cultural and linguistic accuracy. Applicants need native or near-native Romanian, English proficiency, digital tool comfort, attention to detail, and residence in Romania or Moldova. This is a talent network rather than an active opening, with project scope, timelines, and compensation provided when opportunities arise.

Join Welo Data’s remote Bosnian AI contributor network to support flexible projects involving text, image, or audio annotation; search, advertising, or chatbot evaluation; and prompt creation for large language models. Contributors help improve linguistic, cultural, and industry-specific accuracy in AI systems. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. Native or near-native Bosnian, English proficiency, digital-tool comfort, and strong attention to detail are required.

Join Welo Data’s contributor network for potential flexible, remote AI projects involving text, image, and audio annotation, search and chatbot evaluation, prompt creation, and cultural or linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation. Applicants must be English-fluent, detail-oriented, comfortable with digital tools, and based in Malaysia, India, the Philippines, or Indonesia.

Join Welo Data’s remote Tajik contributor network for potential AI data projects. Depending on project needs, contributors may annotate text, images, or audio; evaluate search results, advertisements, and chatbot responses; create prompts for large language models; and review cultural and linguistic accuracy. Projects vary from several days to weeks, with compensation and details provided before each assignment.

Join Welo Data’s remote Igbo contributor network in Nigeria to support flexible AI projects. Potential assignments include annotating text, images, or audio; evaluating search results, advertisements, and chatbot responses; creating prompts; and ensuring linguistic and cultural accuracy. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment.

Join Welo Data’s remote Persian contributor network to support AI training projects through text, image, or audio annotation; search, ad, or chatbot evaluation; prompt creation; and cultural and linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before participation.

Join Welo Data’s Marathi contributor network for future remote AI projects involving text, image, or audio annotation; search, advertisement, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. Applicants must be native or near-native Marathi speakers based in India, proficient in English, comfortable with digital tools, detail-oriented, and curious. This is a talent-community opportunity rather than an active opening, with project scope, timelines, and compensation provided before each assignment.

Join a remote Galician AI contributor network supporting flexible projects in data annotation, search and chatbot evaluation, prompt creation, and cultural and linguistic quality review. Projects may involve text, image, or audio labeling and improving large language models. This is a talent community rather than an active opening; project scope, timelines, and compensation are provided when relevant opportunities arise.