Data and AI Architect

Enterprise platform strategy and readiness * Experienced Data \& AI Architect with a track record of designing and delivering enterprise\-scale data, machine learning, generative AI and agentic\-AI solutions. * Assesses enterprise platform readiness across the full data and AI landscape, including data foundations, ML and LLM services, enterprise knowledge, integration, AI controls, user experience, runtime orchestration and platform engineering. * Identifies platform gaps, constraints and technical risks; develops practical, prioritised recommendations to strengthen the client’s data and AI platform. Solution architecture and design * Defines end\-to\-end solution architectures for specific data, ML and AI use cases, balancing functional needs with the client’s existing technology environment, architecture standards, security requirements and delivery constraints. * Designs reusable patterns for data access, retrieval and knowledge grounding, model and agent execution, enterprise integration, identity and access controls, observability, evaluation, resilience and operational support. * Works closely with client enterprise architects, platform teams, security and risk stakeholders, product owners and delivery teams to align solution designs with target\-state architecture and roadmaps. Delivery and engineering leadership * Understands the client’s engineering practices, delivery lifecycle and maturity; guides teams to adopt appropriate development, testing, release, documentation, operational\-readiness and governance practices. * Provides hands\-on technical leadership throughout delivery, including architecture decisions, design assurance, technical troubleshooting, and transition of solutions into production support. * Communicates complex technical choices clearly to both senior business stakeholders and engineering teams, articulating trade\-offs, dependencies, risks and recommended decisions.