AI Solutions Architect - Cloud & Innovation (M/F/D)

YOUR MISSION WITH US Holistic development of AI-supported software solutions. Use of artificial intelligence to automate and optimize all phases of software development – ​​from requirements analysis and architecture to go-live. AI-supported requirements and architecture work Analysis, structuring and prioritization of requirements as well as development of technical concepts using modern AI tools. Intelligent code development and quality assurance Application of generative AI for automated code generation, documentation, test coverage and continuous code optimization. Implementation of smart CI/CD pipelines Design, development and operation of CI/CD processes with integrated AI support for error prevention, monitoring and performance improvement. Cloud-native implementation of scalable AI applications Development and operation of containerized applications in modern cloud environments (AWS, Azure, GCP) with a focus on MLOps, automation and reusability. THE TECH STACK AI-supported development & architecture Experience with generative AI (e.g. GPT, GitHub Copilot, CodeWhisperer) for code generation, documentation, test automation as well as for architectural support and requirements analysis (e.g. Jira + AI add-ons). Cloud Platforms & DevOps In-depth knowledge of AWS, Azure, or GCP, including containerized applications (Docker, Kubernetes) and CI/CD pipelines with automated, AI-assisted deployments. MLOps & Toolchain Handling tools such as MLflow, DVC or Kubeflow for model management and operationalization as well as cloud-native AI services such as AWS SageMaker, Azure ML or Vertex AI. WHAT YOU BRING WITH YOU Experience in AI-assisted software development. Practical application of generative AI to support code creation, documentation, and architectural work. Solid knowledge of modern cloud platforms Development and operation of cloud-based applications (AWS, Azure or GCP), ideally using AI-related services and automation. Familiarity with CI/CD and DevOps processes. Establishment and maintenance of automated development and deployment pipelines – including integration of AI-supported components. Initial experience in MLOps or model operationalization. Handling tools such as MLflow, DVC or Kubeflow for integrating and monitoring AI models in production. Knowledge of AI-supported requirements and quality management. Use of AI for requirements analysis as well as automated test generation, code analysis and review. Apply for this position About Us The Wilken Software Group – a place where 650 bright minds work together to achieve great things. As a leading technology partner for the utilities, healthcare, and social institutions, we develop digital solutions that matter – and go far beyond. Connecting Minds is our promise: We believe in the power of ideas and in people coming together to shape the world of tomorrow. As an independent company backed by a foundation, we act boldly, sustainably, and in the interest of society. If you're looking for an environment where your ideas make a difference, then you've come to the right place. Shape the day after tomorrow with us – your contribution makes the difference.