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About the role
Essential Skills/Experience Enterprise Architecture experience proven EA leadership translating concepts into production-ready solutions. Hands-on AI/ML engineering building, fine-tuning, and deploying ML/DL models (LLMs, RAG, MLOps) in production. AI platforms hands-on with AWS (Bedrock, SageMaker, Amazon Q), Azure (Azure AI, ML, OpenAI), and Databricks. Engineering and analytics strong Python, TensorFlow/PyTorch, containers, Kubernetes, and CI/CD for hybrid cloud. Data modelling and governance conceptual/logical modelling and governance standards in regulated environments. Architecture judgement select fit-for-purpose AI architecture per use case, with full-lifecycle understanding. Leadership lead a small team of AI architects and help shape enterprise AI strategy and direction. Degree in data science, AI engineering, or a related field (or equivalent experience). Desirable Skills/Experience Postgraduate degree in MIS, AI, data science, or a related field. Recognised thought leader in applying AI within the enterprise and across the industry. Extensive senior AI, data science, data engineering, and AI architecture experience delivering large-scale blueprints. Hands-on building AI models, including LLMs and LVMs, across diverse data types. Agile AI delivery experience; tools for metadata cataloguing, data modelling, and enterprise architecture. Experience in the pharmaceutical AI industry. Ability to simplify the enterprise landscape and reduce technology debt.
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