AI Platform Engineer (w/m/d) - Ingenieur, System Engineering / Admin
Capgemini
About the role
About Capgemini
When you choose Capgemini, you choose a company where you have the opportunity to shape your own career path. You will be supported and inspired by a collaborative network of colleagues around the world and can redefine what is possible. Join us and support the world's leading organizations in unlocking the value of technology and shaping a more sustainable, inclusive world.
Capgemini is a global partner for AI-driven business and technology transformation. The company creates measurable value for its clients by shaping the future of organizations and making it a reality through the interplay of AI, technology, and people. For almost 60 years, Capgemini has stood for responsibility and diversity, employing 420,000 people in over 50 countries. The end-to-end service spectrum is based on extensive industry expertise, a strong partner ecosystem, and competencies in strategy, technology, design, engineering, and operations. The Group achieved a global revenue of 22.1 billion euros in 2024.
Capgemini lives diversity in the workplace. Diversity provides inspiration and innovation in our company. We are particularly pleased to receive applications from qualified talents, regardless of origin, nationality, gender, skin color, ethnic and social origin, religion, age, disability, sexual orientation, and life phase.
Your Role
Sovereign AI platforms are the foundation for secure and powerful AI applications. As an AI Platform Engineer (m/f/d), you will design the technical basis for LLM inference, data/vector stores, and modern AI workloads – automated, scalable, and compliant. This position can be filled full-time or part-time.
- You will design, automate, and operate AI platforms with Kubernetes, IaC, and GitOps – from network & security to CI/CD.
- You will integrate and configure AI components (e.g., LLM serving, RAG pipelines, vector databases) and optimize performance & costs.
- You will be responsible for observability (monitoring/logging/tracing) and security (secrets, certificates, SSO/IAM, hardening) for production environments.
- You will work closely with DevOps, architects, and AI teams and make technological decisions about platform building blocks.
- You will build the managed service for platform operations (SLIs/SLOs, on-call, incident processes) with us and further develop it.
Your Profile
- Several years of experience in DevSecOps/Platform Engineering in production environments; automation is in your blood.
- Very good knowledge of Kubernetes, Python, and Infrastructure as Code (Terraform, Ansible, or similar) including GitOps workflows.
- Practical experience in operating distributed systems including multi-service orchestration (e.g., reverse proxies), observability, and security hardening.
- Initial or in-depth experience with AI platform building blocks: LLM inference (e.g., vLLM/Triton), RAG, vector databases, and frameworks (e.g., Langchain, Pydantic, FastAPI).
- Motivation to actively shape sovereign AI platforms and quickly learn new technologies; German & English at least C1.
What You Will Appreciate With Us
- We place great importance on the compatibility of work and private life. That's why you have the opportunity to work hybrid from the office, from home, or at other Capgemini locations in Germany. At the same time, Capgemini offers you flexible working time models.
- Your start with us: In the first 12 months of your permanent employment, you will get off to a flying start with our entry program GetStarted. The mix is key: Working on top projects, professional training, close support from personal mentors, and exchange with managers and colleagues from all over the world form the perfect foundation for your IT career.
- We play a leading role in using technology responsibly for sustainable progress. Our goal is to help customers save 10 million tons of CO2 equivalents by 2030.
Your Benefits
- Flexible working time and time-off models
- Mobile working – also hybrid from home
- Company bike program
- Mobility budget
- Diverse further training opportunities
- International network
- Cooperation with pme Familienservice
- Deferred compensation – well-secured in old age
- Extended sick pay
- Health offers
- Attractive workplace for people with disabilities
- Keep-in-touch program fareWelcome!
- Work-life balance
- Employee discounts
- Team and sports events
All ancillary benefits mentioned in the advertisement are only an initial overview without acknowledgment of legal obligation. They are subject to the respective valid works agreements, policies, operational regulations, and eligibility requirements at the time of joining the company.
Apply Now
For the first step towards the future, you only need three minutes and your current CV.
Please do not send applications by email. Applications are accepted exclusively through our online application system. Applications received by email will be deleted unread for data protection reasons. If you have questions, Steve Kaltenhofer is available at E-Mail auf get-in-it.de ansehen. This advertisement is online as long as the position is available.
Requirements
- Mehrjährige Erfahrung im DevSecOps/Platform‑Engineering in produktiven Umgebungen; Automatisierung liegt dir im Blut.
- Sehr gute Kenntnisse in Kubernetes, Python und Infrastructure as Code (Terraform, Ansible o. ä.) inkl. GitOps‑Workflows.
- Praxis im Betrieb verteilter Systeme inkl. Multi‑Service‑Orchestrierung (z. B. Reverse Proxies), Observability und Security‑Hardening.
- Erste oder vertiefte Erfahrung mit KI‑Plattform‑Bausteinen: LLM‑Inferenz (z. B. vLLM/Triton), RAG, Vector‑Datenbanken und Frameworks (z. B. Langchain, Pydantic, FastAPI).
- Motivation, souveräne KI‑Plattformen aktiv mitzugestalten und neue Technologien schnell zu erlernen; Deutsch & Englisch mind. C1.
Responsibilities
- Du konzipierst, automatisierst und betreibst KI‑Plattformen mit Kubernetes, IaC und GitOps – von Netzwerk & Security bis zu CI/CD.
- Du integrierst und konfigurierst AI‑Komponenten (z. B. LLM‑Serving, RAG‑Pipelines, Vector‑Datenbanken) und optimierst Performance & Kosten.
- Du verantwortest Observability (Monitoring/Logging/Tracing) und Sicherheit (Secrets, Zertifikate, SSO/IAM, Hardening) für produktive Umgebungen.
- Du arbeitest eng mit DevOps, Architekt*innen und AI‑Teams zusammen und entscheidest technologisch über Plattform‑Bausteine.
- Du baust mit uns den Managed Service für den Plattformbetrieb (SLIs/SLOs, On‑Call, Incident‑Prozesse) auf und entwickelst ihn weiter.
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