Physical and Spatial AI Architect

As an Architect at Deloitte, you are expected to bring deep expertise in Physical and Spatial AI, help define business or technology architecture, plan delivery for large-scale projects, oversee solution design and i mplementation, manage team progress, and ensure quality of work products. * Advise clients on leading practices in digital twin, spatial AI, OT modernization, edge-to-cloud integration, and physical environment transformation * Translate business and operational priorities into transformation roadmaps and technical strategies * Guide clients on platform choices and ecosystem decisions aligned to NVIDIA and/or GCP-based architectures including the role of edge, data, AI, and simulation platforms in enterprise transformation * Architect client solutions focused on digital twins, spatial intelligence, simulation, and OT transformation * Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems, including edge compute, AI model services, simulation platforms, vision services, data platforms, and enterprise integration layers * Define technical architectures for environments requiring coordination across sensing, telemetry, OT systems, edge i nfrastructure, AI/ML services, spatial context, and enterprise applications * Implement integration of physical/spati al AI capabilities into operational workflows, including OT systems, IoT platforms, facilities systems, robotics-relat ed ecosystems, and enterprise platforms * Develop differentiated points of view, offerings, demos, and proposal content that position Deloitte as a preferred transformation partner * Help shape Deloitte's market-facing capabilities focused on digital twins, OT t ransformation, and spatial/physic al AI use cases across priority sectors Work you'll do As a Lead Cloud Integrated Infra Engineer on the Silicon2Servic e team, you will be responsible for: * Leading architecture for pursuits and active opportunities, including discovery, requirements, constraints, and target-state design * Creatively defining reference architectures for on-premises, cloud, and hybrid GPU platforms across compute, network, storage, security, software and operations * Driving architecture trade-offs and decisions across performance, scalability, reliability, locality, total cost of ownership, time-to-value, and risk * Owning the technical solution strategy in proposals and RFPs, including architecture narrative, assumptions, dependencies, sizing guidance, and delivery approach * Facilitating client workshops and technical reviews and translating engineering detail into executive-read y communications * Architecting complex, innovative technology solutions with a focus on business outcomes, cost of quality, and long-term scalability and s ustainability. As a Lead Cloud Integrated Infra Engineer on the Silicon2Servic e team in Deloitte's AI & Engineering practice, you will design and drive deployment of fully integrated architectures for GPU-accelerate d AI factories and high-performan ce computing infrastructure in close partnership with Deloitte AI specialists and our ecosystem partners. Work you'll do As a Lead Cloud Integrated Infra Engineer on the Silicon2Servic e team, you will be responsible for: * Leading architecture for pursuits and active opportunities, including discovery, requirements, constraints, and target-state design * Creatively defining reference architectures for on-premises, cloud, and hybrid GPU platforms across compute, network, storage, security, software and operations * Driving architecture trade-offs and decisions across performance, scalability, reliability, locality, total cost of ownership, time-to-value, and risk * Owning the technical solution strategy in proposals and RFPs, including architecture narrative, assumptions, dependencies, sizing guidance, and delivery approach * Facilitating client workshops and technical reviews and translating engineering detail into executive-read y communications * Architecting complex, innovative technology solutions with a focus on business outcomes, cost of quality, and long-term scalability and s ustainability.

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