This role is responsible for defining and documenting AI use cases and target delivery models, establishing the current and future-state AI architecture across the enterprise landscape, evaluating build-versus-buy options, and guiding proof-of-concept strategies and reusable implementation patterns. 10+ years of progressive experience in enterprise architecture, software engineering, data/analytics, or AI/ML solution delivery, including hands-on recent experience designing and operationalizing AI solutions. Strong architecture experience across cloud and enterprise platforms, with the ability to design scalable, secure, and governed AI solutions using services in Azure, AWS, or Google Cloud. Experience with data architecture and engineering, including data pipelines, ETL/ELT, structured and unstructured data, feature or semantic layers, and integration patterns with enterprise applications and APIs. This position will be posted for a minimum of 5 calendar days.
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