Tech Stack
Job Description, Responsibilities & Requirements
About the Position
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 goals. By translating AI advancements into production-ready skills, agents, frameworks, data, and processes, you will drive the radical workplace productivity that will build AI into our corporate DNA and future-proof our organization.
Responsibilities
- 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, e.g., 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
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!
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 even driven Enterprise Architecture
- Strong communicator - comfortable running demos and writing docs, train the trainer
We Offer
- Competitive salary
- Opportunity to work in multiple locations: Waardenburg, Netherlands; Oslo, Norway; Barkåker, Norway
- Be part of a company with 40+ years of experience as an industry leader in retail software development
About the Company
With 40+ years of experience as an industry leader in retail software development, Extenda Retail's solutions are used by hundreds of retail chains in 37+ countries worldwide and processing over 25M daily transactions.
Extenda Retail brings simplicity to retail and logistic complex problems. Through software, daily customer management, innovation, creativity, and a deep understanding of customers' needs, it provides the technology that helps retailers succeed. From warehouse to checkout.
Contact
Thor Hansson
Talent Acquisition & Employer Branding Manager
People & Culture