AI DevOps Engineer — Stadler Rail

Full description

PROFILE

• Completed degree in computer science, software engineering, information technology or a comparable qualification • Professional experience in DevOps, Platform Engineering, Software Development or IT Operations • In-depth knowledge of CI/CD, automation, monitoring, cloud platforms and secure IT operations • Practical experience with generative AI technologies such as LLMs, RAG architectures, embeddeds, vector databases and agent AI systems • Experience in the integration and operation of AI platforms and proprietary and open source models in productive environments • Knowledge of using cloud platforms to deploy and operate AI workloads, APIs, containers and model serving • Very good English and German skills in word and writing

TASKS

• Build, deploy and operate AI applications, platforms, services and reusable technical components for the AI Center of Competence • Implementation of requirements from AI Strategy & Governance as well as transfer of security, compliance and architecture specifications into stable technical solutions • Development and further development of AI DevOps standards, automation, deployment processes and operational models for AI solutions • Ensuring reliable operation through monitoring, incident management, lifecycle management and continuous optimization • Close collaboration with developers, platform teams, IT operations, cybersecurity, architecture teams and disciplines to promote secure and scalable AI use • Technical advice for project teams and AI champions in the standardized and compliant development and operation of AI solutions • Build and operate reusable AI platform services and components for use by internal project teams