AI / AIOps Architect in Frankfurt am Main
Role details
Job location
Tech stack
Requirements
As an AI / AIOps Architect you are responsible for designing and implementing cognitive / AI / AIOps solutions, which may run on multiple platforms and be composed of multiple software packages. You create the technical solution architecture for a given business problem and lead the development, integration, and testing of the solution. This requires a deep understanding of system engineering principles, cloud architectures, probabilistic and stochastic systems, system decomposition techniques, and the art of system synthesis using available cognitive / AI / AIOps technology. As an AI / AIOps Architect you must be familiar with commonly used technology suites and be able to select complementary analytics components for developing solution blueprints, accounting for performance architecture and engineering of a fully functional cognitive / AI / AIOps system. You should have a thorough understanding of content formats, representations, data sources, content management systems, and interfaces to these. The goal is to cover the full information path from source to knowledge base and from input to processing the content in Cognitive Computing / AI / AIOps solutions. Required education Required technical and professional expertise
- Strong fundamentals in Computer Science, CI/CD and DevSecOps
- Strong expertise in designing AI/AIOps solutions using industry-standard frameworks and cloud-native tools.
- Hands-on experience with Python for developing and deploying AI/ML models.
- Proficient in hyperscaler AI tools like Google Gemini or AWS Bedrock, SageMaker, Azure ML Studio.
- Skilled in integrating AI models into DevOps and AIOps pipelines for proactive issue detection and automation.
- Proven experience in leveraging LLMs / generative AI for intelligent automation use cases.
- Strong understanding of infrastructure-as-code using Terraform and Ansible for scalable AI deployment.
- Strong client-facing and consulting skills to shape AI-driven transformation strategies.
- Excellent verbal and written German (C1 level) and E nglish (B2 level) language skills are mandatory
- German or European Union citizenship
Preferred technical and professional experience
- Structured client engagement approach to ensure consistent delivery.
- Self-driving candidate.
- You thrive on teamwork and have excellent verbal and written communication skills.
Hybrid, Software Engineering, Professional, Englisch, Softwareentwicklung, Frontend, Python, DevOps, Softwareentwickler, Softwaretest, ITrheinmain.de, Empfehlungsbund