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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployment Engineer - AI Data Platforms & Data Spaces - **Company:** Arkadin Cloud Communications - **Location:** Paris, France - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Cloud Engineering, Continuous Integration, Data Architecture, Data Infrastructure, Extract Transform Load (ETL), Dataspaces, Data Virtualization, Data Warehousing, Distributed Data Store, Graph Database, Interoperability, Machine Learning, DataOps, Enterprise Data Management, Enterprise Software Applications, Generative AI, Data Layers, Event Driven Architecture, Containerization, Data Lakes, Infrastructure Automation Frameworks, Data Management, Machine Learning Operations, Api Design, Data Pipelines - **Published:** August 18, 2026 - **Apply:** https://nttlimited.wd3.myworkdayjobs.com/NTT_Careers/job/Paris-France/Forward-Deployment-Engineer---AI-Data-Platforms---Data-Spaces_R-148694-1 ## About the Role * 5+ years of experience as a Forward Deployment Engineer, Data Platform Engineer, Data Architect, Solutions Engineer, or similar customer-facing role focused on enterprise data platforms. * Proven experience designing and implementing enterprise data platforms, AI data layers, and sovereign data spaces. * Deep expertise in data lakes, lakehouses, data warehouses, ETL/ELT, data federation, data virtualization, APIs, event-driven architectures, and distributed data systems. * Strong understanding of AI-ready data architectures supporting analytics, machine learning, generative AI, Retrieval-Augmented Generation (RAG), vector databases, and knowledge graphs. * Experience with sovereign data ecosystems and interoperability frameworks such as GAIA-X, IDSA, and DSIF, with the ability to innovate beyond reference implementations to deliver customized business solutions. * Broad knowledge of modern cloud, hybrid, and enterprise technologies, with the ability to rapidly learn, evaluate, and adopt emerging tools and platforms. * Experience with containerization, infrastructure automation, CI/CD, DataOps/MLOps, observability, and secure-by-design engineering practices. * Demonstrated ability to leverage AI-assisted development and intelligent engineering tools to accelerate delivery while maintaining high quality and security standards. * Excellent consulting, communication, stakeholder management, and problem-solving skills. ## Description We are looking for a Forward Deployment Engineer specializing in AI Data Platforms and Data Spaces to help customers accelerate their AI transformation. You will work directly with clients to understand business challenges, assess their digital and data ecosystems, and design innovative AI-ready data platforms and sovereign data spaces that enable scalable AI solutions., * Engage with customers to identify business challenges, data opportunities, and AI use cases. * Assess enterprise data ecosystems, applications, infrastructure, and digital maturity. * Define roadmaps for AI-native transformation, focusing on AI-ready data platforms and sovereign data spaces. * Design, develop, and deploy production-ready data platforms, data spaces, and rapid Proofs of Value (PoVs). * Architect modern enterprise data solutions, including data lakes, lakehouses, data warehouses, and federated data spaces. * Design scalable ETL/ELT pipelines, API-driven integrations, streaming architectures, and AI-ready data layers. * Build innovative data space solutions that extend standards such as GAIA-X, IDSA, and DSIF to address customer-specific business requirements. * Recommend the most appropriate technologies, architectures, and engineering practices for each customer, remaining technology-agnostic while leveraging AI-assisted development to accelerate delivery. * Ensure solutions are secure by design, scalable, maintainable, and aligned with enterprise governance and compliance requirements. * Collaborate with AI Engineers, Solution Architects, and business stakeholders to deliver measurable business outcomes. ## Related Videos - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [The Data Mesh as the end of the Datalake as we know it](https://www.wearedevelopers.com/videos/156-the-data-mesh-as-the-end-of-the-datalake-as-we-know-it) - [Rest API Antipatterns](https://www.wearedevelopers.com/videos/100208-rest-api-antipatterns) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)