Organisations are moving from experimentation towards responsible, scalable AI adoption. In Germany, clients face increasing pressure to turn business challenges into actionable prototypes that demonstrate real value. As a Forward Deployed Engineer / AI-Architect in a hybrid role, you help bridge the gap between business needs and technical solutions by rapidly creating and showcasing AI-powered prototypes using Microsoft technologies. Your work directly supports clients seeking to accelerate their transformation and make informed decisions about production-ready solutions.
Responsibilities
- Work directly with account teams to understand business problems, workflows, users, data and technical constraints
- Translate loosely defined requirements into practical solution concepts and prototype plans
- Build end-to-end prototypes, proofs of concept and minimum viable products quickly using AI tools
- Use AI development tools, especially GitHub Copilot, to accelerate coding, testing, documentation and troubleshooting
- Design and implement solutions using Microsoft Azure, Azure Functions, App Service, Container Apps, AKS, API Management, Azure AI Foundry, Azure ML, Teams, Microsoft Graph, GitHub, GitHub Actions and GitHub Copilot
- Optionally use Azure DevOps, Power Apps, Power Automate, Power Pages, Dataverse, Microsoft Copilot Studio and Microsoft 365
- Apply appropriate security, identity, privacy and governance practices including Microsoft Entra ID and role-based access control
- Prepare and deliver compelling live customer demonstrations
- Clearly explain technical decisions, limitations, risks and potential production paths
- Gather feedback during demonstrations and rapidly iterate on the solution
- Collaborate with sales, product, design, architecture and engineering teams
- Convert successful prototypes into recommendations and handover materials for production engineering teams
- Share reusable components, patterns, prompts and lessons across the organization
Requirements
- Strong practical development experience in at least one of C# .NET, Java, Python, TypeScript/JavaScript or Node.js
- Ability to develop a functional solution across frontend, backend, APIs, data, authentication and deployment
- Understanding of cloud-native application design
- Experience building generative-AI applications such as RAG, copilots, agents or retrieval-augmented generation solutions