As a Lead Cloud Integrated Infra Engineer on the Silicon2Service team in Deloitte's AI & Engineering practice, you will design and drive deployment of fully integrated architectures for GPU-accelerated AI factories and high-performance computing infrastructure in close partnership with Deloitte AI specialists and our ecosystem partners. Leading architecture for pursuits and active opportunities, including discovery, requirements, constraints, and target-state designCreatively defining reference architectures for on-premises, cloud, and hybrid GPU platforms across compute, network, storage, security, software and operationsDriving architecture trade-offs and decisions across performance, scalability, reliability, locality, total cost of ownership, time-to-value, and riskOwning the technical solution strategy in proposals and RFPs, including architecture narrative, assumptions, dependencies, sizing guidance, and delivery approachFacilitating client workshops and technical reviews and translating engineering detail into executive-ready communicationsArchitecting complex, innovative technology solutions with a focus on business outcomes, cost of quality, and long-term scalability and sustainability.Engaging with C-Suite client leadership during sales and delivery, including leading technical pre-sales discussions, shaping proposals, and supporting the closing of new business opportunities Supporting go-to-market strategies, including participation in industry events, conferences, and client briefings The Silicon to Service team at Deloitte delivers end-to-end AI factories and advanced technology services that help organizations build, deploy, and operate large-scale, private AI and data platforms. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.
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