(Senior) AI Solutions & Enablement Engineer

Drive impactful use cases: Partner with business stakeholders to identify, prioritize, and shape AI use cases with clear value and feasibility. Enable teams to build with AI: Coach and support teams hands-on, helping them move from idea to working solution and adopt AI in their daily workflows. Provide targeted technical guidance: Advise teams on blueprints and implementation, enabling reuse of existing components and avoiding duplication. Design and build AI solutions: Co-develop agent-based solutions embedded in real business processes, with a focus on reliability, scalability, and maintainability. Build scalable foundations: Contribute to reusable patterns, components, and infrastructure that support the long-term adoption of AI across the organization. Promote responsible usage: Ensure solutions follow internal guidelines and good practices around security, data handling, and controlled automation. Stay current: Track relevant developments in AI and translate them into practical opportunities for the business.

At Axpo, the AI Enablement Partner will be part of the T&S; Agentic AI Program, a cross-functional initiative driving AI adoption across Trading & Sales, running under the sponsorship of the Chief Data & Analytics Officer (CDAO). You will collaborate with a community of AI enablement peers and work closely with business users, business area IT, and our GenAI Competency Centre. The program fosters a culture of pragmatic experimentation and continuous learning, giving you the opportunity to shape how AI becomes part of everyday work at Axpo while growing your expertise at the forefront of enterprise AI adoption.

• 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: you can 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. You instinctively meet people where they are, cut through jargon, and make complex AI topics feel accessible and actionable.

• Curious about AI security and responsible deployment: you understand the key risk vectors of agentic systems (prompt injection, data exposure, supply chain attacks, unintended automation) and have a well-developed sense of 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. In a sector evolving week by week, you thrive on continuous learning and bring others along with you.

• 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) as well as 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.