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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Architect - AI - **Company:** Thomson Keene - **Location:** Greater London, UK (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Encodings, Azure Machine Learning, Enterprise Data Management, Large Language Models, Snowflake, Multi-Agent Systems, IT Architecture, Core Data, Virtual Agents, Data Pipelines, Databricks - **Published:** August 26, 2026 - **Apply:** https://www.collegerecruiter.com/job/2815046876-enterprise-architect-ai ## About the Role * 10+ years in technology architecture, with 3-5 years specifically in AI/ML architecture within large enterprise environments * Hands-on command of the modern AI stack: LLM APIs, RAG, vector DBs, embedding pipelines, agent orchestration * Practical exposure to agentic AI and MCP-based tool-use frameworks * Strong enterprise data platform experience (Snowflake, Databricks or similar) * AWS cloud-native architecture knowledge, including Bedrock and relevant AI/ML services * Ability to produce high-quality architecture artefacts and communicate complex ideas to non-technical stakeholders * Financial services experience is a strong plus - particularly asset management, investment banking or fintech ## Description Enterprise AI Architect | London (Hybrid) We're partnering exclusively with a globally recognised, tier-one asset management firm on one of the most compelling architecture briefs we've seen this year. This isn't a build-and-maintain role. This is a define-and-shape role. The firm is at a genuine inflection point with AI - and they're hiring a dedicated Enterprise AI Architect to sit within the Enterprise Architecture function, working directly alongside the Chief Architect to design and govern AI adoption across a complex, global institution. What you'll be doing: * Owning the firm's Enterprise AI Architecture end-to-end, model infrastructure, orchestration layers, data pipelines, governance controls * Designing reference architectures for agentic AI and multi-agent workflows (MCP, LangChain, AutoGen and equivalents) * Embedding AI into the core data and content platform via RAG, vector databases, and proprietary data unlocking * Building and operationalising the AI governance framework- model risk, explainability, bias monitoring, regulatory compliance * Translating front-to-back investment management use cases into concrete AI architectural blueprints * Scanning frontier AI developments and advising senior leadership on strategic bets * Guiding Architecture Review Board (ARB) decisions and producing exec-grade artefacts What we're looking for: * 10+ years in technology architecture, with 3-5 years specifically in AI/ML architecture within large enterprise environments * Hands-on command of the modern AI stack: LLM APIs, RAG, vector DBs, embedding pipelines, agent orchestration * Practical exposure to agentic AI and MCP-based tool-use frameworks * Strong enterprise data platform experience (Snowflake, Databricks or similar) * AWS cloud-native architecture knowledge, including Bedrock and relevant AI/ML services * Ability to produce high-quality architecture artefacts and communicate complex ideas to non-technical stakeholders * Financial services experience is a strong plus - particularly asset management, investment banking or fintech Location & Working Pattern: London-based | Hybrid (up to 3 days WFH per week) This is a rare opportunity - genuine strategic influence, executive visibility, and the chance to shape how a world-class investment firm deploys AI from the ground up. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [A Brief History of Data Storage](https://www.wearedevelopers.com/videos/974-a-brief-history-of-data-storage) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) - [Building Multi-Tenant ASP.NET Core Applications: Best Practices and Real-World Solutions](https://www.wearedevelopers.com/videos/1552-building-multi-tenant-asp-net-core-applications-best-practices-and-real-world-solutions) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [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) - [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) - [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) - [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) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)