We are looking for an AI Enablement Engineer. Your mission is to develop and improve our AI capabilities, and make these available across the company.
As an AI Enablement Engineer, you will work with the design, implementation, and scaling of AI architecture and solutions. You will follow industry trends connecting the potential of AI with organizational functions.
Working closely with senior stakeholders and cross-functional teams, you will ensure that technical solutions align with high impact opportunities and strategic business goal. By translating AI advancements into production-ready skills, agents, frameworks, data and process, you will drive the radical workplace productivity that will build AI into our corporate DNA and future-proof our organization.
What you will be doing
Define how AI solutions are structured, integrated, and scaled across our company, ensuring they are secure, maintainable, and built on solid data foundations
Work closely with senior stakeholders to map processes, identify friction points, and prioritise where AI can drive the most meaningful productivity gains
Build and maintain reusable assets that the whole company benefits from e.g. skill libraries, agent templates, integration patterns, and governance guidelines
Monitor the evolving AI landscape and bring relevant advancements back into the organisation as practical, production-ready capabilities
Contribute to building AI literacy and capability, to build AI confidence and embed an AI-first way of working
Partner with Product Platform and Engineering teams to accelerate AI adoption with within the SDLC
Ensure AI solutions meet production standards: secure, observable, and maintainable on our GCP stack
What you will do the first 3-6 months in the role
Get to know our company and where we are on our AI journey. Begin to influence our AI journey. Establish yourself as a key contributor for AI related matters and get a first few things into live use!
Who are you?
You are a solution-oriented and self-driven professional with a proactive attitude and a strong sense of ownership. You combine technical curiosity with a deep understanding of how a company functions, enabling you to navigate complex environments and collaborate effectively with both technical and non-technical stakeholders.
You have the technical depth to implement the "how" using AI. You enjoy a fast-moving setting where priorities can shift, remaining calm and focused under pressure while championing a culture of continuous learning and innovation.
Skills and Experience
Software engineering background (not just ML theory)
Hands-on experience with LLM APIs (Anthropic, Copilot, OpenAI etc.)
Hands-on experience with Google Cloud AI (Vertex AI, Gemini, Bigquery etc)
Experience from working with SaaS products, ideally from within the Retail software industry
Good to have - experience from even driven Enterprise Architecture
Strong communicator - comfortable running demos and writing docs, train the trainer
Getting an idea of our Tech Stack
We want to give you an idea of the technical landscape here at Extenda Retail. As a heavy adopter of cloud, we have solutions in Google Cloud Platform (Cloud Run, Pub/Sub, Vertex AI, Gemini). We embrace a reactive microservice architecture and utilize Kafka in Confluent Cloud. In our tech stack, you will also find GitHub Actions, Kubernetes, Jira, and Confluence. Our AI strategy is anchored in leveraging these tools to build a high-velocity, agent-first workforce.
