Leading the design of production machine learning and generative AI platforms, the remote Architect - Machine Learning and Data will own the technical architecture for client engagements, ensuring models transition from notebooks to scalable, monitored operations while collaborating closely with data scientists and engineers. Key Responsibilities: Own end-to-end technical architecture for machine learning and AI engagements, from target-state design through production acceptance Define reference architectures for Fabric-first data science and MLOps platforms, including environment topology and promotion paths Serve as the senior technical voice on engagements, leading design sessions and advising clients on AI and data platform roadmaps Required Qualifications: 5+ years of professional experience in data, machine learning, or AI engineering, with 3+ years in a solution architecture role Demonstrated ownership of production machine learning systems that were operated by someone other than the author Hands-on architecture experience with Microsoft Azure data and AI services, including Microsoft Fabric Production generative AI experience, including large language model solutions and prompt-based workflows Bachelor's degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative discipline; Master's degree preferred