> Markdown version of [/jobs/ext/1225325-ai-solution-architect](https://www.wearedevelopers.com/jobs/ext/1225325-ai-solution-architect). 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 Solution Architect - **Company:** City Facilities Management Limited - **Location:** Helston, UK - **Experience:** Expert - **Contract:** Temporary contract - **Skills:** .NET Framework, Multitier Architecture, Artificial Intelligence, Automation of Tests, Microsoft Azure, Cloud Computing, Software Quality, Code Review, Cyber Security, Continuous Integration, Software Debugging, Software Design Patterns, IT Management, Python (Programming Language), Microsoft SQL Server, Node.Js, NoSQL, Search Technologies, Software Engineering, TypeScript, AI Infrastructure, ReactJS, Large Language Models, Prompt Engineering, Generative AI, Git, Event Driven Architecture, Cosmos DB, Machine Learning Operations, Virtual Agents, Restful APIs, Domain Driven Design - **Published:** July 10, 2026 - **Apply:** https://www.totaljobs.com/job/ai-architect/city-facilities-management-u-k-ltd-job107667364 ## About the Role * 5+ years experience in a development role (essential) * Degree level qualification (desirable) Specific Knowledge AI * Hands on experience with Gen AI and LLM's * Experience with RAG, Prompt engineering, Evaluation techniques * AI infrastructure (vector stores, embeddings, model serving) * AI agent frameworks and orchestration * Understanding of embeddings, vector search * Claude Code or equivalent * Secure AI solution design * Responsible AI principles * Demonstrable AI engineering skills * Agentic Tooling (desirable) * Knowledge of Facilities Management domain (desirable) * Background in domain-driven design, event-driven systems, or clean architecture (desirable) Software Engineering * Typescript / Python / React / node js * Microsoft NET stack, SQL Server, NoSQL DB (eg Cosmos DB) * REST API design and integration * Design patterns and clean architecture * GIT, Azure DevOps, CI/CD Pipelines, IaaC Demonstrated Behaviours * Proactive, self-driven, and able to work independently or as part of a team * Focused on outcomes rather than outputs * Excellent verbal and written communication skills * Pragmatic and flexible attitude * Excellent interpersonal skills * Attention to detail * Mentoring/coaching skills ## Description This role will be responsible for driving the design, architecture and delivery of AI-powered solutions across the group It will be critical in implementing production-grade systems that leverage LLMs, with a focus on reliability and cost-aware deployment As a Lead, this role will bridge cutting-edge research and production engineering - setting technical direction, mentoring a high-performing team, and ensuring AI solutions are robust, scalable, and responsible, * Design and implement secure and scalable LLM-powered applications using modern Generative AI architectures * Collaborate with product, data and ops team to identify the issues in hand and explore how AI can open up new ways of solving them * Use AI coding assistants such as Claude Code or equivalent as part of day-to-day development workflows to improve efficiency, quality, and delivery speed * Optimize performance for latency, cost, accuracy, security and reliability * Ensure all software that is created is in line with the technical roadmap, development guidelines and security standards * Troubleshoot, debug, and resolve technical issues across the product * Ensure code reviews and automated tests to support quality assurance * Participate in all meeting arounds Refinement, Planning and Delivery, * Lead the architecture and end-to-end development of AI solutions, from prototyping to production * Collaborate with the Product team to identify candidate use cases for AI, helping them understand the art of the possible with today's AI capabilities and where it can deliver real business value * Work closely with IT Governance and Cyber Security teams to ensure AI solutions are secure by design and that data is handled responsibly, ethically, and in line with organisational policies * Define technical standards, best practices, and engineering roadmaps for AI initiatives * Provide technical leadership and mentor developers * Stay current with advancements in AI, evaluate emerging technologies, assess their applicability to the product, and help shape the organisation's AI journey * Own quality, reliability, and performance of AI systems including monitoring, testing, and observability * Conduct security and architectural reviews, and foster a culture of engineering excellence * Communicate technical trade-offs and progress clearly to both technical and non-technical stakeholders * Evaluate and select AI frameworks, LLM providers, vector databases, and cloud infrastructure * Champion true AI Engineering across the team, leveraging AI tools to move faster without sacrificing code quality, security, or maintainability Basic Behaviours: * Ensure that continuous improvement is baked into everything we do * Support the development of a strong culture focused on transparency, collaboration, and high performance * Make time to support other members of the team and answer questions * Take responsibility of your personal objectives and those of the team * Take ownership of deadlines and releases for yourself and the team * Any quality issues of the software the team owns should be looked on as a temporary and unacceptable state of affairs Every opportunity should be taken to rectify problems, in conjunction with the completion of team and individual objectives ## Related Videos - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Leveraging Real time data in FSIs](https://www.wearedevelopers.com/videos/806-leveraging-real-time-data-in-fsis) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Tomorrow's cloud data platforms - fully managed database-as-a-service (DBaaS)](https://www.wearedevelopers.com/videos/254-tomorrow-s-cloud-data-platforms-fully-managed-database-as-a-service-dbaas) - [AI Driven Development](https://www.wearedevelopers.com/videos/100340-ai-driven-development) ## Related Articles - [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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)