You will be embedded in assurance activities and collaborate directly with practitioners to turn complex problems into practical digital solutions.
Job purpose/role Allianz Investment Management (AIM) is the internal investment manager of the Allianz Group.
Gestaltet Messe-, Print- und Digitalmaterial für mehrere Marken und erzeugt Bildmaterial mit generativen KI-Tools, inklusive Nachbearbeitung.
Gestaltet Messe-, Print-, Präsentations- und Social-Media-Material für mehrere Marken und erstellt Bilder mit generativer KI.
Du entwickelst die daten- und KI-gestützte Qualitätsstrategie für unsere Dienstleistungspartner im Kundenservice weiter.
Wir schreiben dir, sobald eine neue geprüfte Stelle zu Generative 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.
Job Title: Junior Solution Engineer (m/f/d) Location: Munich, Germany Why this role matters GenAI is transforming the cybersecurity landscap
This is a unique opportunity to shape how AI drives real impact in digital healthcare at Redcare Pharmacy.
das machst du bei uns Du entwickelst ausdrucksstarke Bildwelten, Key Visuals und kanalübergreifende Kampagnenkonzepte Du nutzt generative KI
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.
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
Entwickelt und trainiert generative 3D-Weltmodelle und Diffusionsmodelle für Bild und Video, inklusive verteiltem Training und Produktivsetzung.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
define and own the data science and AI strategy across the organization - lead development and scaling of predictive and generative AI model
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and the simulation of reality.
SpAItial is pioneering the next generation of World Models, pushing the boundaries of generative AI, computer vision, and simulation.
is hands-on and code-heavy — you will work inside the same monorepo as the research team, mostly in Python, and should be as comfortable ref
Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvem
Entwickelt das Agents Kit, ein Mendix-SDK für Agenten und agentische Anwendungen, und arbeitet dazu mit Early-Adopter-Kunden in München.
Join our growing Roland Berger AI Lab as the technical backbone for designing secure, scalable (Gen)AI systems.
will include: - Design and deliver end-to-end AI solutions, from proof of concept to production.
You’ll take the lead in building the data intelligence dimension of Agileday’s AI product.
Visium combines strategy, frontier AI, and deep regulated-industry expertise to build and deploy AI-native systems that reinvent how busines
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 Originalanzeige36 geprüfte Stellen bei 23 Arbeitgebern, 1 davon ortsunabhängig. 19 in der KI-Entwicklung, 7 in Integration & Automatisierung.