> Markdown version of [/jobs/ext/2930242-ai-solutions-architect](https://www.wearedevelopers.com/jobs/ext/2930242-ai-solutions-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 Solutions Architect - **Company:** Optima Partners - **Location:** London, UK - **Salary:** £70,385.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Batch Processing, Software as a Service, Cloud Engineering, Continuous Integration, Information Engineering, Information Leak Prevention, Information Lifecycle Management, Python (Programming Language), Platform as a Service (PAAS), SQL Databases, Management of Software Versions, Enterprise Data Management, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Build Management, Enterprise Integration, Machine Learning Operations, Docker, Microservices - **Published:** September 16, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5885594157 ## About the Role * Experience designing and delivering end-to-end AI solution architectures, including LLM applications, RAG-based systems, AI agents, agentic workflows and intelligent automation. * Strong understanding of solution architecture principles, cloud-native design, enterprise integration, APIs, microservices and scalable software delivery. * Hands-on capability with Python and SQL, with practical knowledge of AI orchestration frameworks such as LangChain, LangGraph or similar technologies. * Knowledge of vector databases, semantic retrieval, prompt engineering, model selection, grounding techniques, evaluation approaches and AI guardrails. * Experience working with cloud environments and enterprise platforms, with Azure experience preferred, and an understanding of PaaS, SaaS, real-time and batch processing patterns. * Familiarity with Docker, CI/CD, infrastructure approaches, MLOps, LLMOps, AIOps, observability, versioning and production operations would be advantageous. * Strong understanding of responsible AI, security, privacy, governance, data lifecycle and data quality considerations, including risks such as hallucination, bias, data leakage and prompt injection. * Excellent consulting, communication and stakeholder management skills, with the ability to translate business needs into clear technical direction for both technical and non-technical audiences. * Commercial curiosity, a proactive mindset and a passion for emerging AI technologies, reusable accelerators and identifying opportunities to create measurable business value. ## Description We are looking for an AI Solutions Architect to define and deliver end-to-end AI solution architectures that help clients transform business processes, improve decision-making and unlock measurable value from modern AI. With a strong focus on generative AI, agentic AI, retrieval-augmented generation and cloud-native delivery, this role combines hands-on technical leadership with the ability to translate complex business challenges into scalable, secure and production-ready solutions. As part of Optima's growing AI capability within Engineering, you will work closely with colleagues across data science, data engineering, consulting and client engagement to shape client AI strategies, lead proof-of-concepts, establish reusable architecture patterns and support the early industrialisation of AI solutions in real operating environments. * Define and implement end-to-end AI solution architectures that incorporate modern generative and agentic capabilities, ensuring they are scalable, secure and production-ready. * Design AI application patterns such as RAG, orchestration and multi-agent workflows, tool and function calling, and human-in-the-loop processes, integrating them with enterprise data, APIs and microservices. * Ensure AI solutions integrate cleanly into cloud-native PaaS and SaaS environments, with robust approaches to real-time and batch processing where required. * Establish best practices for prompt engineering, model selection, grounding, evaluation and guardrails across AI solutions. * Lead AI and LLM proof-of-concepts at client sites, rapidly demonstrating how generative and agentic approaches can deliver measurable business value. * Apply hands-on experience of agentic capability, including tool use, orchestration, autonomous and multi-agent workflows, to design and build working solutions rather than conceptual designs alone. * Support early industrialisation of AI solutions, contributing to the adoption of MLOps, LLMOps and AIOps practices such as evaluation, observability, versioning and responsible deployment. * Ensure AI solutions meet relevant standards and regulations for security, privacy and responsible AI, particularly in public sector and regulated environments. ## Related Videos - [Microservices: how to get started with Spring Boot and Kubernetes](https://www.wearedevelopers.com/videos/242-microservices-how-to-get-started-with-spring-boot-and-kubernetes) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases](https://www.wearedevelopers.com/videos/1146-fault-tolerance-and-consistency-at-scale-harnessing-the-power-of-distributed-sql-databases) - [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) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) - [Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact](https://www.wearedevelopers.com/videos/1541-azure-ai-foundry-for-developers-open-tools-scalable-agents-real-impact) ## 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) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it) - [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) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)