AI Infra Strategy - Cloud Integrated Infrastructure Engineer II

Summary Position Summary Artificial Intelligence & Engineering AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated sector solutions across software, data, artificial intelligence, networking, and hybrid cloud infrastructure. These engineering-led solutions help transform mission-critical operations and deliver business value. Join our AI & Engineering team to help transform technology platforms, drive innovation, and make a meaningful impact on client outcomes. You will work alongside professionals who are reimagining operations and engineering solutions that are critical to business performance. Level: Cloud Integrated Infrastructure Engineer II As a Cloud Integrated Infrastructure Engineer II within Deloitte Consulting's Hybrid Cloud Infrastructure practice, you will support AI infrastructure strategy and advisory engagements across three connected frontiers:AI compute & HPC infrastructure,Spatial AI, andPhysical AI. You will work within multidisciplinary, global teams and collaborate with clients and internal stakeholders to help translate business goals into technically grounded solution approaches. You will support sales and proposal efforts and contribute to day-to-day delivery across the project lifecycle work planning, research, analysis, and status reporting to help drive successful outcomes. This is a strategy and advisory role, not a build role: you help shape the direction, reference architectures, and operating models that clients and delivery teams then implement Work youll do: As a Cloud Integrated Infrastructure Engineer II on the Hybrid Cloud Infrastructure team, you will be responsible for: Support AI infrastructure and high-performance computing strategy engagements, including analysis of accelerator options, capacity planning, deployment models, and infrastructure economics. Contribute to reference architectures for AI platforms, data centers, and edge-to-cloud environments, including networking, storage, orchestration, and simulation environments. Assess spatial AI and physical AI use cases and help translate business needs into deployment architectures, operating models, and adoption roadmaps. Develop market assessments, business cases, total cost of ownership models, and value realization analyses for next-generation infrastructure investments. Support client delivery, proposal development, ecosystem collaboration, and the creation of offerings, assets, and thought leadership across AI and engineering domains. The team Deloittes AI & Engineering practice helps clients transform technology platforms through modern engineering, cloud, data, and AI capabilities. Within this practice, the Hybrid Cloud Infrastructure team advises clients on infrastructure strategy across hybrid cloud, advanced connectivity, AI data centers, high-performance computing, and AI-enabled platforms. The team works at the intersection of business strategy and technical architecture to help clients improve resiliency, scalability, efficiency, and innovation. Location: Hyderabad/Bengaluru Shift Timings: As per Business Requirement Qualifications Required: 3-7 years of strategy consulting or industry experience in technology, infrastructure, cloud, artificial intelligence, or high-performance computing environments. 2-5 years of post-Master of Business Administration or post-Master of Science experience in technology strategy, or 4-8 years of industry experience across artificial intelligence infrastructure, high-performance computing, edge computing, physical AI, or hybrid cloud. Experience with artificial intelligence compute platforms, accelerators, high-performance networking, storage, and orchestration technologies. Experience with one or more of the following: spatial AI, computer vision, 3D scene understanding, digital twins, simulation, robotics, autonomous systems, edge inference, or sim-to-real pipelines. Experience supporting end-to-end strategy, advisory, or transformation engagements in client-facing environments. Experience developing materials for senior technology stakeholders, including Chief Information Officer, Chief Technology Officer, Chief Data Officer, or Chief Operating Officer audiences. Master of Business Administration or Master of Science from a Tier 1 institution in India or abroad. Preferred: Experience supporting go-to-market strategy, joint solutioning, or co-innovation initiatives with technology partners. Experience developing market assessments, business cases, competitive analyses, or operating models for infrastructure or platform offerings. Experience with ecosystem business models, vendor landscapes, or industry trends across artificial intelligence infrastructure and adjacent domains. Cloud, infrastructure, or architecture certifications in Amazon Web Services, Microsoft Azure, Google Cloud Platform, NVIDIA, Cisco, TOGAF, Project Management Professional, or Summar