You will be embedded in assurance activities and collaborate directly with practitioners to turn complex problems into practical digital solutions.
Führt Celonis-Projekte End-to-End: Use Cases finden, Datenmodelle und Analysen mit KI-Agenten bauen, Business Cases vor der C-Ebene präsentieren.
Verantwortet Celonis-Projekte End-to-End: Use Cases erheben, Datenmodelle und Analysen mit KI-Agenten bauen, Nutzen quantifizieren und Adoption sichern.
Agent architecture — Design the multi-agent system: agent boundaries, event contracts, orchestration patterns, and the separation between LL
We re looking for the top 1% - engineers who treat their craft like athletes treat performance, and who want to work alongside people who do the same.
Wir schreiben dir, sobald eine neue geprüfte Stelle zu Agentic AI in München dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
As a Product Manager for the AI Platform, you will play a foundational role in defining, scaling, and operationalizing Artificial Intelligen
NVIDIA has been redefining computer graphics and accelerated computing for three decades.
Job Title: Junior Solution Engineer (m/f/d) Location: Munich, Germany Why this role matters GenAI is transforming the cybersecurity landscap
Entwickelt selbstkorrigierende Agenten-Schleifen für KI-generierten Embedded-Code und definiert deren Verifikationsstrategie inkl. CI und Traceability.
You want to help build the central MLOps/LLMOps Platform that supports over 80 Data Scientists and ML Engineers worldwide?
Tensordyne engineers build software on a scalable, high-throughput internal developer platform.
works across enterprise, AI-native, ISV, cloud provider, public sector, defense, and regulated environments, translating NVIDIA software int
Huawei s Heisenberg Research Center is responsible for advanced technology research, architectural development, design and strategic engineering of our products.
Design and build agentic GenAI systems using modern frameworks such as LangChain, AutoGen or Atomic Agents, taking the lead on translating p
Bridge the gap: Develop and maintain the hardware abstraction layers that allow our higher-level autonomy modules to interact seamlessly with the physical robot.
Who are we? Cohere is the leading security-first enterprise AI company.
Entwickelt das Agents Kit, ein Mendix-SDK für Agenten und agentische Anwendungen, und arbeitet dazu mit Early-Adopter-Kunden in München.
As an AI/LLM Engineer, you will play a key role in building agentic AI systems end-to-end.
Join our growing Roland Berger AI Lab as the technical backbone for designing secure, scalable (Gen)AI systems.
Entwickelt KI-Agenten, die Kontext verstehen, Tools nutzen und mehrstufige Aufgaben im Produkt ausführen, und bringt sie in den Produktivbetrieb.
Baut die Sicherheitsschicht für autonome Agenten: Isolation, nachvollziehbare Ausführung, manipulationssichere Events und abgesicherte CI/CD-Pipeline.
As an AI Software Engineer in our Data Science team, you will help design and deliver scalable backend and cloud systems that power our AI-d
Role highlights: - Role: Forward Deployed AI Engineer - Department: Forward Deployed Engineering - Location: Germany - Reports to: VP, Forwa
Verantwortet als Solution Architect große Pharma-R&D-Transformationsdeals, definiert Zielarchitekturen und leitet Workshops mit Senior-Stakeholdern, inkl. KI-Einsatz.
The ServiceNow Partner Design Studio is looking for a Partner Solution Engineer with a passion for innovation, design standards, and cutting
Warum dieser Job gelistet ist
KI ist Gegenstand der Rolle (Kernbegriffe in Titel/Anforderungen). Prüfverfahren ansehen
You will be embedded in assurance activities and collaborate directly with practitioners to turn complex problems into practical digital solutions. You will identify and shape high-value opportunities, build prototypes and minimum viable products, and help move validated solutions into productive use. The focus is not innovation for its own sake, but technology that improves assurance quality, coverage, productivity and risk transparency. You combine modern software engineering with hands-on experience in generative and agentic AI. Working closely with Product Owners and DevSecOps partners, you contribute across the solution lifecycle, from discovery, requirements and architecture to development, integration, deployment and continuous improvement. You build solutions with reuse in mind, creating scalable components that can be applied to similar challenges across different areas of assurance.
Discover and prioritize : Work directly with assurance teams to understand complex business challenges, assess digitalization potential and independently identify and prioritize software, data and AI use cases with clear business value Shape the digital landscape: Translate functional needs from Audit, Internal Controls, Enterprise Risk Management and Project Excellence into scalable solution concepts and actively shape the strategic digitalization and technology landscape for FIN A. Engineer solutions end to end: Take technical ownership from solution design and architecture through development and integration to productive deployment, ensuring secure, scalable, maintainable and user-centered solutions. Build with modern technologies : Lead and coordinate the development of modular applications, interfaces and data flows using technologies such as Python, Snowflake, Azure cloud and low-code platforms such as Mendix. Shape and apply AI strategically : Co-create the AI strategy for FIN A and translate it into practice by designing and introducing GenAI applications, AI agents and agentic workflows with appropriate governance, guardrails and control mechanisms. Move solutions into production : Drive validated prototypes and MVPs towards production-ready solutions together with Product Owners and DevSecOps partners, making sound technical decisions and actively managing dependencies, risks and trade-offs. Design for scale and reuse: Define reusable solution patterns and components that can be transferred across assurance teams and integrated sustainably into the existing application landscape. Drive adoption and measurable impact: Enable data- and AI-driven transformation across FIN A, measure delivered business value, continuously improve solutions and systematically transfer knowledge and capabilities to assurance teams.
Strong analytical and problem-solving skills, a can-do mindset and the ability to quickly understand unfamiliar assurance processes, practitioner needs and business contexts, and translate them into meaningful opportunities and solutions A master s degree in computer science, business informatics, data science, engineering or a comparable field. At least 5+ years of hands-on experience in software development, data engineering, analytics or AI engineering, ideally in an enterprise environment. Strong expertise in several relevant technologies, such as Python, Azure cloud &AI stack, Snowflake, Mendix or comparable platforms.
Practical experience building and introducing GenAI applications, AI agents or agentic workflows. A sound understanding of software architecture, data models, testing, version control, DevSecOps and lifecycle management. A strong ownership mind set and confidence working directly with auditors and other assurance practitioners, and communicating technical options, decisions and trade-offs clearly to Product Owners and management.
Experience with audit, risk, controls or comparable assurance processes is an advantage. Alternatively, you can demonstrate strong process expertise and the ability to build assurance knowledge quickly. Curiosity, ownership and a strong willingness to learn in a continuously evolving technology environment.
Business-fluent German and English. What Success Looks Like Measurable improvements in assurance quality, coverage, productivity or risk transparency Solutions that move beyond prototypes, are used in production and are continuously improved. Secure, scalable and reusable software, data and AI components.
Strong user adoption and sustainable capability building across assurance teams.
Technology, Innovation and Enablement Practice - Siemens Assurance (FIN A) Your opportunity Work side by side with assurance teams working on audit, internal controls, enterprise risk management and project excellence governance, understand real business challenges and rapidly engineer secure, scalable and reusable software, data and AI solutions that deliver measurable impact
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Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige32 geprüfte Stellen bei 27 Arbeitgebern, 2 davon ortsunabhängig. 23 in Integration & Automatisierung, 4 in der KI-Entwicklung.