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# AI Solution Architect / Senior Engineer Financial Services

- **Company:** Capgemini Deutschland Holding GmbH
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, DevOps, Distributed Systems, Microsoft Office, Software Engineering, Management of Software Versions, Google Cloud, Cloud Platform System, Large Language Models, Prompt Engineering, Backend, Kubernetes, Machine Learning Operations, Virtual Agents, Microservices
- **Published:** July 4, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=97644f22d6800376

## About the Role

* Fundierte Erfahrung in GenAI-Technologien (LLM APIs, Embeddings, RAG, Prompt Engineering, Evaluierung)
 * Starker Hintergrund in Software Engineering mit Fokus auf Backend, APIs, Microservices oder verteilte Systeme
 * Praxiserfahrung mit Cloud-Plattformen (AWS, Azure oder GCP) sowie modernen DevOps-Stacks (CI/CD, IaC, Container, Kubernetes)
 * Know-how in LLMOps (Deployment-Patterns, Versionierung, Testing, Monitoring) für produktive AI-Systeme sowie gutes Verständnis von Security, Skalierbarkeit und Architekturdesign in komplexen, regulierten Umgebungen
 * Projektabhängige Reisebereitschaft sowie sehr gute Deutsch- und Englischkenntnisse

## Description

Als AI Solution Architect / Senior Engineer (w/m/d) entwickelst und betreibst du moderne AI-Lösungen entlang des gesamten Lifecycles:

 * Du definierst und implementierst technische Best Practices für sichere, performante und kosteneffiziente AI-Architekturen entlang des SDLC.
 * Du konzipierst, entwickelst und betreibst GenAI- und Agentic-AI-Lösungen und integrierst diese in Cloud- und Plattformlandschaften.
 * Du arbeitest hands-on in der Umsetzung: AI Engineering, Backend / API-Entwicklung sowie Cloud- / Platform Engineering.
 * Du unterstützt Presales- und Angebotsphasen (z. B. Lösungsarchitekturen, technische Konzepte, Demos, Storytelling)., * Flexible Arbeitszeit- und Auszeitmodelle
 * Mobiles Arbeiten - auch hybrid von Zuhause aus
 * Jobfahrrad-Programm
 * Mobilitätsbudget
 * Vielfältiges Weiterbildungsangebot
 * Internationales Netzwerk
 * Kooperation mit dem pme Familienservice
 * Deferred Compensation - im Alter gut abgesichert
 * Verlängerte Entgeltfortzahlung im Krankheitsfall
 * Gesundheitsangebote
 * Attraktiver Arbeitsplatz für Menschen mit Handicap
 * Kontakthalteprogramm fareWelcome!
 * Work-life-balance
 * Mitarbeiterrabatte
 * Team- und Sportevents


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