AI workflows & Automation Engineer (SAP)
MegaCool Technologies AI workflows & Automation Engineer (SAP)
The objective of the project is to build a new billing platform based on SAP UC4G as the strategic backbone for future-ready sales. Through maximum automation, standardization, and harmonization, the shared platform should enable efficient billing of all products and services.
Key objectives include:
- Increasing company-wide closing costs
- Securing competitiveness through cost reduction and reducing the time-to-market for new products
- Enabling a rapid response to regulatory requirements
- Reducing complexity through simplified product structures
- Ensuring scalability and flexibility
- Achieving 95% harmonization of core processes
- Ensuring measurable and transparent performance through appropriate KPIs
The first solutions are planned to go live by the end of November, with the remaining solutions continuing through 2028.
Responsibilities
- Build & operate AI solutions within the squad: Develop and operate AI solutions directly within the squad, including agents, automations, scripts, and integrations. Provide hands-on support with requirements analysis, documentation, solution design, testing, and coding.
- Measurable delivery contribution: Increase the level of automation and development velocity with measurable impact.
- Enablement towards independence: Enable the squad to work independently and AI-first after the handover.
- AI as a standard working tool: Establish the use of AI to prevent errors in development, documentation, and quality assurance.
- Define methods & best practices: Establish clear guidelines for how AI can be used effectively within the squad and support the team in adopting these working methods.
AI & Tooling
- Solid experience using AI tools in a professional/work context, e.g. Copilots, LLMs (such as Claude Code), and code assistants
- Ability to effectively use AI for requirements analysis, documentation, solution design, coding, and testing
- Understanding of the opportunities, risks, limitations, and appropriate use cases of AI
Skills
AI & Tooling:
- Strong experience with AI tools (Copilots, LLMs, Claude Code, Code Assistants)
- Experience using AI for analysis, documentation, design, coding, and testing
- Understanding of AI risks, limitations, and appropriate use cases
Nice to Have
- SAP Utilities (UC4G / IS-U / S/4HANA)
- Integration expertise (APIs, interfaces, data flows)
- Basic knowledge of ABAP, Python, or comparable technologies
- Knowledge of modern cloud and SAP BTP architectures
- German spoken would be a great plus