Are you focused on making AI actually work in real business contexts? Can you bridge the gap between business needs and technical implementation? Do you learn fast, experiment, and adapt as the field evolves? Join the Agentic AI Program of Axpo Trading and Sales (T&S) and help integrate agentic AI into core processes and decision-making. Your role is to turn ideas into robust, scalable solutions and build the foundations that allow AI to be applied consistently across the organization. AI is seen as transformative for the way work is done across many roles, and you can help shape that journey as a sparring partner across the business.
Tasks
- Partner with business stakeholders to identify, prioritize, and shape AI use cases with clear value and feasibility.
- Coach and support teams hands-on, helping them move from idea to working solution and adopt AI in their daily workflows.
- Advise teams on blueprints and implementation, enabling reuse of existing components and avoiding duplication.
- Co-develop agent-based solutions embedded in real business processes, focusing on reliability, scalability, and maintainability.
- Contribute to reusable patterns, components, and infrastructure that support the long-term adoption of AI across the organization.
- Ensure solutions follow internal guidelines and good practices around security, data handling, and controlled automation.
- Track relevant developments in AI and translate them into practical opportunities for the business.
Requirements
- University degree (BSc/MSc) in a relevant field (e.g., Computer Science, Data Science, Business Informatics, Engineering, or another quantitative discipline), or equivalent practical experience in AI, software engineering, and digital product delivery.
- Solid understanding of how modern AI systems work (LLMs, agents, context handling, limitations) and experience applying them in real-world scenarios.
- Familiar with common patterns such as retrieval-augmented generation (RAG), tool/function calling, agent orchestration, and emerging standards like Model Context Protocol (MCP).
- Able to apply these concepts pragmatically, with a clear sense of where AI adds value.
- Exceptional communication skills across audiences: able to explain a multi-agent architecture to an engineer and the same concept simply and compellingly to a business stakeholder who has never written a line of code.
- Instinctively meets people where they are, cuts through jargon, and makes complex AI topics feel accessible and actionable.
- Curious about AI security and responsible deployment: understands key risk vectors of agentic systems (prompt injection, data exposure, supply chain attacks, unintended automation) and knows when to let an agent run autonomously in a sandboxed environment and when human review is non-negotiable.
- Pragmatic, collaborative, and service-oriented, with a genuine passion for AI and a natural drive to stay ahead of the curve.
- Thrives on continuous learning and brings others along in a sector evolving week by week.
- Strong understanding of software engineering principles and the full development lifecycle (design, implementation, testing, deployment, and operations), with a clear sense of what it takes to build maintainable, scalable systems in an agile environment.
- Familiar with modern development tooling, including the use of coding agents in the development workflow.
- Solid knowledge of Python, SQL, Git, and cloud platforms (preferably Azure), ideally familiar with Databricks.
- Solid understanding of DevOps practices, containerization (e.g. Docker), Infrastructure as Code (e.g. Terraform), networking and IAM concepts, and front-end technologies (e.g. JavaScript/TypeScript and modern frameworks) considered a plus.
- Preferably 2 or more years of experience with AI in a professional setting.
- Fluent in English; additional language skills relevant to the assigned entity are an advantage.
Benefits
- Flexible working hours and the option to work up to 50% remotely for work-life balance.
- Generous pension plan with 60% of pension contributions paid by the company.
- 100% continued payment of salary in the event of illness or accident and access to an exclusive mental health platform with five free sessions with a psychologist.
- 16 weeks maternity leave (100% continued pay) and 10 days paternity leave (100% continued pay).
- Up to 20% reimbursement of childcare costs (max. CHF 4,800 per year).
- Attractive discounts on petrol, insurance, and mobile telephony with partner companies such as Shell, Avia, Sunrise, and Swisscom.
- SwissPass (max. CHF 190) for affordable public transportation.
- Culture of continuous learning, personal growth, and international community involvement.
- Commitment to non-discrimination, tolerance, and inclusion as an equal opportunity employer.
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Über uns
Das Team
The AI Enablement Partner will be part of the T&S Agentic AI Program, a cross-functional initiative driving AI adoption across Trading & Sales, sponsored by the Chief Data & Analytics Officer (CDAO). Collaboration with a community of AI enablement peers, business users, business area IT, and the GenAI Competency Centre is central. The program fosters a culture of pragmatic experimentation and continuous learning, offering the opportunity to shape how AI becomes part of everyday work at Axpo while growing expertise at the forefront of enterprise AI adoption.