Senior Ai Platform Engineer (all Genders)

Adesso Group

Germany
On-site
Enterprise ai architecture
Infrastructure as code
Kubernetes or cloud-native platforms
You will develop and operate scalable platform architectures for ML, LLM, and agentic workloads in the enterprise context

Job Summary

  • You will develop and operate scalable platform architectures for ML, LLM, and agentic workloads in the enterprise context.
  • You will implement Infrastructure-as-Code concepts for reproducible AI environments across multiple stages.
  • You will provide standardized runtime environments and interfaces that can be efficiently used by Data, ML, and GenAI teams.

Matching Summary

You will develop and operate scalable platform architectures for ML, LLM, and agentic workloads in the enterprise context.

Skills & Requirements

Must-have

  • Enterprise AI architecture
  • Infrastructure as Code
  • Kubernetes or Cloud-native platforms
  • IAM and Secrets Management
  • Standardized runtime environments
  • Containerization and cluster architectures

Nice-to-have

  • Platform-oriented thinking
  • Focus on scalability and reusability
  • Structured and standardizing approach

Key Requirements

  • Minimum 5 years experience
  • Completed degree in Computer Science or comparable
  • Proficiency with Kubernetes, Terraform/Pulumi
  • Experience with AWS, Azure, or GCP
  • Professional German and English communication

Work Rights

Not specified

Tailored Resume

Cover Letter