Spatial Designer Jobs (NOW HIRING)

Job Summary:
Deloitte is a leading professional services firm, and they are seeking a Physical and Spatial AI Architect to join their AI & Engineering team. The role focuses on improving operational efficiency and accelerating digital transformation for clients through innovative solutions involving digital twin and spatial AI technologies.
Responsibilities:
• 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 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
• 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 transformation, and spatial/physical AI use cases across priority sectors
Qualifications:
Required:
• Bachelor's degree in Engineering, Computer Science, Information Systems, Industrial Engineering, Operations, or a related field
• 6+ years of relevant experience in consulting, industry, or a combination of both
• Experience working with clients on digital twin, spatial technologies, OT transformation, industrial/edge AI, or related operational technology initiatives
• Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems, including relevant AI, simulation, edge, vision, geospatial, or platform services
• Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems for Physical & Spatial AI including but not limited to
• NVIDIA platforms: Omniverse, Cosmos, Isaac, Metropolis, Jetson/Orin, NeMo, Groot in real world or simulated environments
• GCP technologies: GDCE, Anthos, Vertex AI, TensorFlow, Immersive Stream, Earth Engine, Gemini/Agent builder
• Strong product and platform strategy experience defining architecture, integration patterns, and implementation approaches for environments involving OT systems, telemetry, AI services, and enterprise platforms
• Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available.
• 10+ years of experience in infrastructure architecture or engineering for large-scale platforms including design, implementation, operations, and optimization.
• 4+ years designing or delivering GPU-accelerated platforms for AI, ML, or high-performance computing
• 3+ years Linux system administration in production environments
• 3+ years designing or operating distributed compute clusters for AI/HPC in hybrid cloud setups, including multi-GPU topologies, partitioning, scheduler integration, and scalability for edge-to-cloud workloads.
• 2+ years with high-performance networking or storage for AI/HPC
• 2+ years building containerized platforms using Kubernetes or Red Hat OpenShift, including GPU operators/drivers, CUDA container runtime, and cluster lifecycle automation
• 2+ years automating infrastructure as code(IaC) with tools like Terraform and Ansible
• At least 2 end-to-end deployments of reference architectures in the cloud or on-prem, including variants with security controls, network segmentation, operational runbooks, and validation testing
• Experience in pre-sales or sales engineering, including discovery, solution demonstrations, and proposal/RFP contributions
• Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
• Limited immigration sponsorship may be available.
Preferred:
• Consulting experience strongly preferred, particularly in client-facing strategy, architecture, or transformation delivery roles
• Experience in data center, sports venue, consumer, or retail environments
• Experience developing client-ready materials for workshops, solution framing sessions, and stakeholder presentations
• Experience contributing to proposal development, pursuit teams, or opportunity shaping activities
• Familiarity with operational use cases such as asset monitoring, predictive maintenance, facility performance, workforce enablement, computer vision, loss prevention, safety/compliance monitoring, or spatial operations
• Experience with enterprise integration, IT/OT convergence, and real-time operational decision support
• Advanced degree in Engineering, Computer Science, Robotics, Industrial Systems, or a related discipline
• Strong presentation skills and comfort communicating with both business and technical audiences
• Experience leading or coordinating multidisciplinary teams in complex solution delivery engagements
• Strong written and verbal communication skills, including workshop facilitation, architecture storytelling, and executive-level communication
• 2+ years implementing AI/HPC cluster scheduling (Slurm and Kubernetes), including multi-tenant queues, quotas, and GPU-aware policies
• 2+ years supporting generative AI infrastructure patterns, including multi-node distributed training
• Experience with AI agents and frameworks
• Experience with high-throughput storage for AI/HPC
• Experience executing NVIDIA co-sell motions with OEMS (Dell, HPC, Lenovo), CSPs (AWS, Azure, Google Cloud), or independent software vendors (Run:ai, OpenShift, Weights & Biases)
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.