Senior Ai Solution Architect

## AI SOLUTION ARCHITECT ## 1.1 The Role - Join an established technology consulting team delivering AI and digital transformation solutions for enterprise clients. - Lead the design of AI architectures, enterprise platforms and data integration solutions. - Turn business requirements into practical technical designs, from initial planning through to implementation. - Work with business stakeholders, technical teams and senior decision-makers to deliver scalable solutions. - Help organisations adopt AI securely, with a focus on governance, compliance and responsible use. ## 1.2 Key Responsibilities - Design solutions using Generative AI, Agentic AI, Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). - Develop solution architectures, integration designs, data flows and technical roadmaps. - Lead technical workshops and present architecture recommendations to clients. - Establish AI governance, security, privacy and compliance controls. - Lead technical delivery across developers, engineers and cross-functional teams. - Support pre-sales activities, proposals, RFPs and solution design. - Identify opportunities to modernise legacy systems and improve business processes through AI and automation. - Ensure solutions meet enterprise architecture standards and business requirements. ## Requirements - Experience in solution architecture, technical architecture or technology consulting. - Strong understanding of Generative AI, Agentic AI, LLMs and RAG. - Experience with APIs, enterprise platforms, data integration and system architecture. - Understanding of AI governance, security and compliance requirements. - Strong communication, stakeholder management and technical leadership skills. - Experience delivering complex enterprise technology projects. - Relevant cloud, AI or enterprise architecture certifications are advantageous. ## Preferred Experience - Experience across financial services, public sector, healthcare or other regulated industries. - Background in consulting or client-facing technology delivery. - Exposure to cloud platforms, enterprise data solutions and AI deployment.