Digital Twin & Edge Computing Solution Architect

Insight Global
Plano, TX, United States
10 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Artificial Intelligence Data Analysis Data Centers Machine Learning Software Deployment VMware Infrastructure Virtualization Technology Digital Twin Operational Systems Machine Learning Operations Multiaccess Edge Computing Network Server
+2 more
Data Pipelines Vmware

Job description

The Digital Twin & Edge Computing Solution Architect will lead the deployment and expansion of GPU-enabled infrastructure supporting Digital Twin, AI, and machine learning initiatives across multiple sites. This individual will serve as the technical lead between infrastructure engineering, VMware, operations, deployment teams, OEM partners, and business stakeholders to ensure solutions are successfully piloted, operationalized, and scaled. Responsibilities include defining deployment architecture, coordinating infrastructure requirements, managing technical dependencies, driving production readiness activities, and overseeing site implementations. The role will also support the buildout of GPU-enabled lab environments and edge computing platforms that process and analyze data generated in the field, helping establish a repeatable deployment model as the program expands to additional locations.

Requirements

  • Experience designing and deploying Digital Twin solutions in enterprise, industrial, manufacturing, or warehouse environments
  • Strong infrastructure architecture background including compute, servers, virtualization, storage, and networking
  • Experience with GPU-enabled environments, AI/ML infrastructure, and high-performance compute platforms
  • Deep understanding of VMware infrastructure and virtualization technologies
  • Experience supporting edge computing deployments across multiple sites
  • Ability to lead technical initiatives across engineering, operations, deployment, and support teams
  • Experience managing pilot programs, production deployments, operational readiness, and risk mitigation
  • Strong stakeholder management skills with the ability to translate technical concepts for business leaders - Experience with NVIDIA GPU platforms and HPE infrastructure
  • Experience building or supporting air-gapped lab environments
  • Knowledge of AI/ML data pipelines and infrastructure supporting Digital Twin applications
  • Data center, industrial, or operational technology (OT) experience
  • Experience deploying infrastructure into warehouse, manufacturing, or field environments
  • Familiarity with vendor management and OEM coordination
  • Experience supporting multi-site deployments requiring regular travel

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Good distractions

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