Tech Stack
SaaSAICommunication
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 Enterprise Architecture
- Strong communicator: comfortable running demos and writing docs, train the trainer
We Offer
- Opportunity to work in a fast-paced, innovative environment
- Collaborate with senior stakeholders and cross-functional teams
- Contribute to building AI literacy and capability within the company
- Work with cutting-edge technologies on Google Cloud Platform
About the Company
Join Extenda Retail, a market-leading company on a journey to build a world-class team, and develop yourself professionally in the exciting, ever-evolving retail technology industry. We are a heavy adopter of cloud, utilizing solutions in Google Cloud Platform (Cloud Run, Pub/Sub, Vertex AI, Gemini) and embracing a reactive microservice architecture.
Locations
- Oslo, Norway
- Stockholm, Sweden
- India
- Netherlands
- Remote
Contact
Thor Hansson
Talent Acquisition & Employer Branding Manager