Ai Architect

AI Architect – Job Description Role Overview We are seeking an experienced AI Architect to lead the design, development, and deployment of advanced Artificial Intelligence and Generative AI solutions. The ideal candidate will combine deep technical expertise with strong business acumen, translating complex and ambiguous business challenges into scalable AI-driven solutions that deliver measurable value. Key Responsibilities * Architect, design, and implement enterprise-grade AI and Generative AI solutions across a range of business domains. * Collaborate with business stakeholders to understand requirements and translate complex problems into structured AI/ML architectures and delivery roadmaps. * Design and optimise Retrieval-Augmented Generation (RAG) frameworks, vector database architectures, embedding strategies, and agentic AI workflows. * Develop and integrate solutions leveraging Large Language Models (LLMs), foundation models, and Model Context Protocol (MCP) frameworks. * Lead the selection and implementation of AI platforms, tools, and frameworks, ensuring scalability, security, and operational excellence. * Build and maintain robust data pipelines using SQL, Python, and modern data engineering practices. * Develop advanced analytics capabilities including anomaly detection, causal inference, predictive modelling, and machine learning solutions. * Work closely with engineering, product, and business teams to deliver AI initiatives across multiple projects in a fast-paced environment. * Create compelling data visualisations, dashboards, and presentations to communicate insights and solution outcomes to technical and non-technical stakeholders. * Provide technical leadership, mentoring, and best-practice guidance to development and data science teams. Required Skills \& Experience * Strong experience in data engineering , with advanced proficiency in Python and SQL . * Hands-on experience with Large Language Models (LLMs) , foundation models, prompt engineering, embeddings, vector databases, and RAG architectures. * Proven experience designing and implementing agentic AI systems , including MCP (Model Context Protocol) integrations. * Strong knowledge of Generative AI frameworks such as LangChain , LlamaIndex , and related orchestration platforms. * Experience developing and deploying machine learning models, including anomaly detection and causal inference solutions. * Demonstrated ability to translate ambiguous business requirements into practical AI and machine learning solutions. * Strong communication and stakeholder management skills, with the ability to explain complex technical concepts to diverse audiences. * Experience managing multiple initiatives simultaneously while delivering high-quality outcomes. Preferred Qualifications * Experience with cloud AI platforms such as Azure AI Services , Azure Machine Learning , AWS, or Google Cloud AI. * Knowledge of MLOps, model governance, responsible AI principles, and AI security best practices. * Experience leading AI strategy, architecture reviews, and enterprise-scale AI transformation programmes. Key Competencies * AI \& Solution Architecture * Generative AI \& LLM Engineering * Data Engineering \& Analytics * Problem Solving \& Critical Thinking * Stakeholder Management * Technical Leadership * Communication \& Storytelling * Innovation \& Continuous Learning