AI Enablement Engineer

At Swissquote, we’re all in. All in to shake things up. All in to build the bank people actually want to use. All in to make finance less boring — and a lot more powerful. We’re Switzerland’s leading digital bank — 1,400+ people across Europe, the Middle East and Asia, building real financial solutions for over a million clients worldwide. From trading and investing to everyday banking, we cover the full picture. We move fast, but we build things we’re genuinely proud of. Have a look behind the scenes by checking Humans of Swissquote on Instagram. Growing fast creates room. Room to try things, own things, and grow at a pace most places can’t offer. Whether you like the spotlight or prefer to just put your head down and do great work, there’s space for both here. We’ve ditched the dress code — but never the chance to celebrate. Big win or small, we make it count. The kind of place where the atmosphere takes care of itself. As an equal opportunity employer, we welcome candidates from all backgrounds, experiences and perspectives to join our team and contribute to our shared success. Feeling it? It’s a good start. Apply. As an AI Enablement Engineer, you will be responsible for accelerating AI adoption across the Technology department while helping the wider organization identify and implement high-impact AI initiatives. Reporting directly to the Head Talent & Methodology, you will work closely with Engineering Managers, the Tech Drive (Technical Governance), Communities of Practice, Methodology, Human Resources, Product Strategy, Operational Products, and other business departments. Your mission is simple: Make AI a core engineering capability at Swissquote. You will continuously identify opportunities where AI can improve engineering excellence, operational efficiency, and product innovation, while ensuring adoption follows Swissquote's governance and quality standards. Rather than only delivering training, you will build a sustainable enablement ecosystem that allows teams to become autonomous AI practitioners. Key Responsibilities AI Enablement & Learning Design, build and continuously evolve the Software Engineering AI Enablement Program. Deliver hands-on workshops, technical trainings, bootcamps and office hours. Coordinate AI learning initiatives across Software Engineering and Technology. Develop practical learning paths covering Generative AI, AI-assisted software development, prompting, AI agents, automation and emerging AI capabilities. Create reusable playbooks, best practices and engineering guidelines. Measure AI adoption and continuously improve enablement programs through feedback and metrics. Partnership Engineering Excellence Work alongside engineering teams to identify opportunities where AI can significantly improve software development lifecycle productivity. Help teams integrate AI into software design, coding, testing, documentation, operations and maintenance. Prototype AI-powered engineering workflows and reference implementations. Actively collaborate with internal Communities of Practice and CoP Manager Organize technical talks, demos, hackathons and AI events Encourage experimentation while promoting responsible AI usage. Working together with the Tech Drive organization, you will: Contribute to Software Engineering AI standards and best practices. Participate in defining AI governance for engineering activities. Ensure AI usage aligns with security, compliance and regulatory requirements. Identify recurring engineering challenges and propose AI-driven improvements. Business Enablement Beyond engineering, you will collaborate with Operational Products, Product Strategy, HR and business stakeholders to: Identify high-value AI opportunities. Facilitate AI discovery workshops in collaboration with the Methodology Team Prototype business solutions using Generative AI. Support departments during AI adoption and change management. Act as a trusted advisor on AI opportunities and implementation approaches. Additional responsibilities - Innovation & External Representation As one of Swissquote's AI ambassadors, you will: Monitor AI trends, technologies and industry best practices. Evaluate emerging AI tools and frameworks. Represent Software Engineering internally across Swissquote. Contribute to Swissquote's visibility externally through conferences, meetups, articles or technical communities when appropriate. Required Qualifications 2-5 years of experience in Software Engineering, Platform Engineering, Developer Experience or Technical Consulting. Strong software engineering background with experience building production systems. Practical experience using Claude or similar LLMs in your own work: prompt engineering, using AI coding assistants, building small internal tools or scripts that leverage LLM APIs Demonstrated experience leading technical enablement, mentoring or training engineers. Excellent communication and presentation skills. Ability to explain complex technical concepts to both technical and non-technical audiences. Strong understanding of software engineering best practices. Entrepreneurial mindset with a strong bias toward execution and continuous improvement. Passion for learning, experimentation and knowledge sharing. Curiosity about AI governance, security and cost management, and willingness to learn Swissquote’s specific constraints and policies Preferred Qualifications Experience with Claude Code, OpenWebUI or similar AI development environments. Exposure to spec-as-source, agentic workflows, or RAG patterns, even in small side projects Prior experience running brown-bag sessions, workshops, or internal documentation initiatives. Familiarity with Claude, OpenAI, OpenWebUI, GitHub Copilot, Cursor or similar AI platforms. Experience with RAG, AI Agents, MCP, orchestration frameworks or agentic workflows. Knowledge of AI governance, security and regulatory requirements. Experience working in regulated environments. Public speaking experience, conference presentations or technical content creation is a strong plus.