Tech Stack
Job Description, Responsibilities & Requirements
About the Position
We are looking for an AI Enablement Engineer to join our team. Your mission is to develop and improve our AI capabilities, making them available across the company.
Responsibilities
As an AI Enablement Engineer, you will:
- 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 prioritize where AI can drive the most meaningful productivity gains
- Build and maintain reusable assets that the whole company benefits from, such as skill libraries, agent templates, integration patterns, and governance guidelines
- Monitor the evolving AI landscape and bring relevant advancements back into the organization 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 within the SDLC
- Ensure AI solutions meet production standards: secure, observable, and maintainable on our GCP stack
Requirements
- 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 driven Enterprise Architecture
- Strong communicator - comfortable running demos and writing docs, train the trainer
What You Will Do in the First 3-6 Months
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.
We Offer
- Competitive salary
- Opportunity to work in a market-leading company
- Collaboration with Google Cloud to run its next generation of cloud-native retail
- Google’s complete catalogue of modular cloud
About the Company
At Extenda Retail, we are on a journey to build a world-class team and develop ourselves professionally in the exciting, ever-evolving retail technology industry. We are a heavy adopter of cloud, with solutions in Google Cloud Platform (Cloud Run, Pub/Sub, Vertex AI, Gemini). We embrace a reactive microservice architecture and utilize Kafka in Confluent Cloud. Our tech stack also includes GitHub Actions, Kubernetes, Jira, and Confluence. Our AI strategy is anchored in leveraging these tools to build a high-velocity, agent-first workforce.
Contact Person
Miriam Fidler
[email protected]