AI Specialist

About the Role • The AI Specialist is an expert practitioner responsible for delivering complex AI solutions across design, build, data science, and deployment activities. • Operating within the AI Centre of Enablement, the role supports the AI Foundry delivery team by providing deep technical expertise and hands on contribution to advanced AI initiatives. • The role operates across multiple AI domains, including generative AI, agentic AI, and data driven intelligence, ensuring solutions are robust, scalable, and responsibly deployed. • Through technical leadership and specialist insight, the role accelerates the organisation’s ability to adopt and operationalise advanced AI capabilities. Responsibilities • Provide specialist technical expertise across AI solution design, development, and deployment, supporting complex and high impact AI initiatives. • Design and implement advanced AI capabilities by contributing hands on to solutions involving large language models, agentic architectures, Retrieval Augmented Generation (RAG), and automation workflows. • Guide solution patterns and technical approaches by advising on best practices for generative AI, data driven intelligence, and enterprise AI architectures within the Microsoft AI ecosystem. • Support data science and model optimisation activities by assessing data readiness, evaluating model performance, and improving accuracy, consistency, and reliability of AI outputs. • Develop reusable AI assets including prompt libraries, connectors, templates, and technical frameworks to accelerate delivery across the AI Foundry. • Act as a technical authority and mentor by supporting AI Product Developers, AI Design Analysts, and AI Test Leads through guidance, coaching, and hands on problem solving. • Embed operational and responsible AI practices by supporting MLOps, monitoring, lifecycle management, and adherence to responsible AI principles and governance standards. Required Skills • AI Solution Design & Development • Generative & Agentic AI Implementation • Enterprise Integration - Microsoft AI Ecosystem • Data Science & Model Optimisation • Data & ML Fundamentals • MLOps & AI Governance • Technical Leadership & Collaboration