Description
- IT - Project Management
- Zürich
- Contracting
- Teilzeit, 80-100%
- 02.11.2026 - 31.12.2026 with option to extension
- AI
Your responsibilities:
- Drive the transition towards an end-to-end AI-powered and increasingly autonomous software development model
- Design and implement agentic workflows in which AI agents analyse requirements, write and modify code, execute tests and support code reviews
- Integrate and automate AI-driven solutions within existing enterprise applications and complex development environments
- Define quality standards, human approval gates and governance practices to ensure the safe and traceable use of autonomous AI agents
- Work closely with development teams to establish AI-native ways of working, coaching and mentoring engineers in directing, supervising and validating AI-driven development workflows
- Design and deliver hands-on training sessions and workshops to strengthen AI engineering capabilities, encourage experimentation and support the sustainable adoption of AI-powered development practices
Your profile:
- Several years of hands-on software engineering experience, including the development, testing and maintenance of enterprise applications
- Strong practical expertise in generative AI and LLMs, including RAG, structured data extraction, tool and function calling, and agentic workflows
- Extensive hands-on experience using AI-powered development tools and coding agents, such as GitHub Copilot or comparable solutions, as an integral part of daily engineering work
- Experience implementing AI-powered automation within existing projects, as well as knowledge of DevOps, testing and modern development practices
- Solid understanding of the end-to-end Product Development Lifecycle (PDLC) and Software Development Lifecycle (SDLC), from product discovery and requirements analysis through to architecture, implementation, testing, deployment and maintenance
- Ability to rapidly build prototypes, experiment with new approaches and challenge traditional software development processes
- Proven experience in coaching and mentoring software engineers, delivering technical training and enabling teams to adopt new tools, methodologies and AI-native engineering practices
- Fluent in English, German is a big plus
We are not looking for a:
- Data scientists or machine learning specialists
- AI engineers whose primary focus is developing RAG applications, chatbots or LLM-based products
- Pure AI architects focused mainly on conceptual frameworks and target architectures
- Transformation consultants without substantial hands-on software engineering experience
- Traditional software engineers who have only occasionally used AI coding assistants
