Artificial Intelligence & Engineering
AI & Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These insights are powered by engineering for business advantage, helping transform mission-critical operations.
Join our AI & Engineering team to help transform technology platforms, drive innovation, and help make a significant impact on our clients' achievements. You’ll work alongside talented professionals reimagining and re-engineering operations and processes that could be critical to businesses.
Level: - Cloud Integrated Infrastructure Engineer II
As a Cloud Integrated Infrastructure Engineer II at Deloitte Consulting, you should have a strong product implementation mindset and hands-on experience helping clients apply digital twin and spatial technologies to real-world operational environments. The ideal candidate has worked across OT-heavy environments such as data centers, sports venues, and consumer/retail operations, and can help translate business and operational needs into scalable architecture, platform, and transformation solutions. Client experience aligned to NVIDIA and/or Google Cloud Platform/ AWS stacks, with exposure to either OT transformation design or hands-on technical solution architecture is ideal. You will work within multidisciplinary, global teams and support junior practitioners while working directly 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, scoping, estimation support, and status reporting – to drive successful outcomes.
Work you’ll do:
As a Senior Consultant/ Consultant at Deloitte, you are expected to bring solid hands-on expertise in Physical and Spatial AI, support the definition of business or technology architecture, contribute to delivery planning for large-scale projects, help with solution design and implementation, track team progress, and ensure quality of your work products. The role also includes mentoring junior team members, sales support, and contribution to market eminence. You will participate in discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture. Support the preparation of technical architecture and design, clarify requirements, and help resolve ambiguities. Develop solutions in line with established technical designs, integration standards, and quality processes. Apply and help maintain technical design and development guides, templates, and standards. Facilitate daily scrum meetings, track deliverables, and prepare weekly status reports for leadership review. Support detailed deliverable reviews and provide technical guidance to junior team members. Collaborate with onsite clients, coordinators, analysts, and cross-functional teams.
- Support clients on leading practices in digital twin, spatial AI, OT modernization, edge-to-cloud integration, and physical environment transformation
- Help translate business and operational priorities into transformation roadmaps and technical strategies
- Help 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
- Contribute to architecting client solutions focused on digital twins, spatial intelligence, simulation, and OT transformation
- Help clients define future-state capability stacks aligned to NVIDIA and GCP/AWS ecosystems, including edge compute, AI model services, simulation platforms, vision services, data platforms, and enterprise integration layers
- Support the definition of technical architectures for environments requiring coordination across sensing, telemetry, OT systems, edge infrastructure, AI/ML services, spatial context, and enterprise applications
- Implement integration of physical/spatial AI capabilities into operational workflows, including OT systems, IoT platforms, facilities systems, robotics-related ecosystems, and enterprise platforms
- Contribute to differentiated points of view, offerings, demos, and proposal content that position Deloitte as a preferred transformation partner
- Support the development of Deloitte’s market-facing capabilities focused on digital twins, OT transformation, and spatial/physical AI use cases across priority sectors
The team:
At Hybrid Cloud Infrastructure, we deliver solutions spanning Hybrid Cloud, Advanced Connectivity, AI Data Centers, High-Performance Computing, and AI Infrastructure to help clients achieve their desired outcomes. Our offerings include engineered transformation services for hybrid cloud infrastructure and platforms, prioritizing resiliency, optimization, and extensive automation. We integrate Advanced Connectivity, with AI Infrastructure and AI to boost operational efficiency and enable real-time data processing, crucial for critical low-latency enterprise operational technology (OT) applications. Additionally, we provide comprehensive management of all facets of operations for hybrid cloud infrastructure and field operations.
Location: Hyderabad/Bengaluru
Shift Timings: As per Business Requirement
Qualifications
Required:
- 3-8 years of relevant experience in consulting, industry, or a combination of both
- Hands-on experience with NVIDIA Isaac Sim, Nucleus and Isaac Replicator for programmatic synthetic data generation at scale.
- Solid understanding of 3D perception models – point-cloud networks, depth models, spatial transformers and their role in embodied AI pipelines.
- Proficiency in USD scene composition layers, references, variants and architecting digital twin scenes with live telemetry integration.
- Experience evaluating, finetuning and integrating VLA foundation models (OpenVLA-OFT, GR00T, RDT-1B) benchmarking policies on structured task suites in simulation.
- Ability to author Omniverse Kit extensions in Python/C++ for custom sensors, simulation behaviors, or non-standard action spaces.
- Working knowledge of Isaac ROS 2 for sensor simulation, topic bridging, and integration with policy inference nodes.
- Familiarity with Cosmos / NVIDIA foundation models for world modelling and scene generation as part of the simulation stack.
- BE/B. Tech/M.C.A./M.Sc. (CS)/ M. Tech degree or equivalent from accredited university
Preferred:
- Experience with 3D scene reconstruction techniques like NeRF, Gaussian Splatting, or photogrammetry – for enriching simulation asset libraries.
- Exposure to edge-optimized inference for 3D perception like TensorRT graph optimization, int8/fp16 quantisation, and custom CUDA kernels for point-cloud operations.
- Knowledge of sim-to-real transfer methodology – fidelity metrics, distribution shift analysis, dataset augmentation strategies, and transfer learning experiments.
- Understanding of motion planning and trajectory optimization for robotic manipulation –experience with planners such as MoveIt 2, MPPI, or CuRobo, and the ability to validate planned trajectories inside Isaac Sim before real-world execution.
- Exposure to imitation learning and behavior cloning pipelines – collecting and curating teleoperation demonstrations, training policies with ACT or Diffusion Policy, and assessing policy generalization on out-of-distribution spatial scenarios in sim.
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