AI Enablement Engineer

Job Description

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.

• 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.
• 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.
• Organise technical talks, demos, hackathons and AI events.
• Encourage experimentation while promoting responsible AI usage.

• 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.

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 adviser on AI opportunities and implementation approaches.

• 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.

• 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.

• Experienc…