> Markdown version of [/jobs/ext/4048002-ai-engineer-cloud](https://www.wearedevelopers.com/jobs/ext/4048002-ai-engineer-cloud). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer - Cloud - **Company:** Coöperatieve Rabobank U.A. - **Location:** Utrecht, Netherlands - **Salary:** €4,105.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Cloud Computing, DevOps, Python (Programming Language), Systems Development Life Cycle, Cloud Services, GitHub Copilot, AI Coding Agents, Agentic-AI, Github Enterprise, Terraform, Serverless Computing, Databricks, Programming Languages - **Published:** October 5, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=1a50e5658cbede26 ## About the Role You are an AI Engineer with Cloud expertise (AWS preferred) and a strong product mindset. You combine technology and user needs to make AI-assisted software development valuable in practice. Starting with GitHub Copilot, you help teams adopt Coding Assistants and explore more agentic ways of working through hands-on support, proofs of concept, knowledge sharing, and data-driven insights., * Knowledge on designing and deploying serverless solutions on AWS (preferred) or Azure, with Terraform * AI in SDLC usage (can design and build custom agents, reusable skills - and use them). * Coding Agents knowledge. Active user of GitHub Copilot and other coding assistants on the market * Software engineering fundamentals (polyglot coding - focus on Python) * Production experience (deploy, operate, scale systems) * Cloud, DevOps & IaC (practical experience) * Systems design (APIs, event-driven, integrations) * Understanding of Agile/Scrum principles and product-oriented delivery * GitHub Enterprise administration (optional - willing to learn the basics) * Communication and stakeholder engagement skills * AI Governance and responsible AI (security, privacy, prompt injection, leakage, data protection) * Product-minded: focuses on value, outcomes, and lifecycle-not one-off delivery * Client and user-focused: passionate about making people successful * Quality-driven: committed to building robust, maintainable solutions * Strong communicator: bridges business and engineering effectively * Outgoing and collaborative: enjoys working with people and building trust * Proactive and accountable: takes ownership and drives results * Curious and growth-oriented: eager to learn and improve continuously ## Description * Accelerate the adoption of Coding Assistants by helping engineering teams integrate tools such as GitHub Copilot into their daily way of working. * Demonstrate the value of Agentic Engineering through hands-on experiments and proofs of concept with engineering teams. * Measure adoption and impact by defining relevant KPIs, building dashboards, and turning insights into actions. Facts & figures * 36 per week * 8.500 Engineers * 3000+ users and growing * 9.5 million customers worldwide Top responsibilities * Be a technical leader on Coding Assistants, coaching teams how to make use of AGENTS.md, Spec-driven development, instructions and strategies to optimize token usage * Develop and deploy Dashboards and automation solutions to track usage and KPIs and automate operations (in scope: AWS, Azure DevOps, Python. Knowledge of Databricks is a plus) * Help the community in making the most value out of coding assistants (starting with GitHub Copilot) for various IDEs and programming languages * Perform POCs and work with Security teams to evaluate enabling new features such as CLI * Operational tasks including license management and answering support tickets and queries