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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Architect - **Company:** AMS CWS - **Location:** London, UK - **Contract:** Temporary contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Architectural Patterns, Microsoft Azure, Cloud Computing, Cyber Security, Machine Learning, Software Engineering, AI Infrastructure, Cloud Platform System, Large Language Models, Multi-Agent Systems, Model Validation, Generative AI, Kubernetes, Enterprise Integration, Machine Learning Operations, Data Pipelines - **Published:** September 2, 2026 - **Apply:** https://www.totaljobs.com/job/enterprise-architect/ams-cws-job107919439 ## About the Role * Extensive experience in Enterprise or Solution Architecture, with a proven track record of designing and delivering large-scale AI, machine learning, cloud, or distributed technology solutions. * Deep hands-on expertise in Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic systems, orchestration frameworks (such as LangChain or LlamaIndex), and vector databases. * Strong knowledge of enterprise architecture practices, including architecture governance, target-state design, technology roadmaps and strategic technology decision-making. * Demonstrated experience defining AI, data and platform architectures, including cloud-native solutions, APIs, integration patterns, shared services, and enterprise-scale infrastructure. * Advanced understanding of AI governance, security, privacy, regulatory requirements and Responsible AI principles, with the ability to embed these controls into enterprise architectures. * Expertise in at least one major cloud platform (AWS or Azure), together with strong software engineering, security architecture, MLOps, and LLMOps knowledge. ## Description The Enterprise Architect will lead the design and delivery of a next-generation AI ecosystem at enterprise scale, shaping how intelligent systems are embedded across every facet of the organisation. You will define the architectural vision, standards and guardrails that enable the creation of self-driving workflows, intelligent automation at scale and AI-native platforms. Your key responsibilities will include: * Defining and owning the target architecture for enterprise AI, including model selection, model access, orchestration, APIs, and integration standards. * Owning common AI methods, standards and platform components for reuse across the enterprise. * Establishing architectural patterns for knowledge grounding, context stores vector databases, data pipelines and cloud infrastructure to support scalable AI solutions. * Guiding teams toward building on governed, shared AI infrastructure. * Providing architectural leadership across platform, engineering, data, and business teams to ensure AI solutions are scalable, secure, and aligned to enterprise standards. * Helping embed the right foundations for observability, controls and secure integration as AI capabilities move into production. ## Related Videos - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Building Scalable Multi-Agentic AI Systems in Java: Orchestrating Agents with Event-Driven Approach](https://www.wearedevelopers.com/videos/1967-building-scalable-multi-agentic-ai-systems-in-java-orchestrating-agents-with-event-driven-approach) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [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) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [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)