AI Platform Architect
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Role details
Tech stack
Requirements
Experience in leading and delivering enterprise AI platform architectural thinking, and its practical application. Experience in the use of conceptual and logical data modelling technologies. Experience in defining and working with information and data regulatory governances. Experience in designing modular, scalable AI architectures for NLP and agent-based systems Experience in AI engineering such as MLOps, LLMOps, containerization, orchestration, etc. Experience in known industry IT architectural patterns and IT architecture ways of working/methodologies (e.g. Amazon Bedrock, Amazon Quick Suite and Sagemaker). Understands AI Platforms concepts and cloud-based containerization strategies for hybrid cloud environments. Experience in the appropriate AI structure and technology based on business use case and completely familiar with AI lifecycles. Hands on experience coding in Python, IaC, etc
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