Lead Delivery Engineer
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Key skills for this role
About the Role
Open Innovation AI seeks a Lead Delivery Engineer to serve as the senior technical authority for customer deployments of AI infrastructure. You will lead on-site deployments end-to-end, coordinating contractors and engineers, and performing hands-on platform work including Kubernetes and OS provisioning.
Key Skills for This Role
Responsibilities
- Lead each customer deployment on site from end to end, coordinating contractors, vendor field engineers, and network engineering.
- Perform hands on platform deployment: provisioning OS, standing up Kubernetes on bare metal, installing in cluster operators, and deploying Open Innovation products.
- Produce low level designs (LLDs) and as built documentation for each engagement.
- Act as senior technical escalation point for delivery engagements.
- Manage customer expectations and represent the team's technical perspective.
- Define, document, and evolve deployment standards: runbooks, acceptance criteria, handoff checklists.
- Mentor and unblock delivery engineers in the field.
- Lead post incident and post deployment reviews.
- Partner with Delivery & Network Coordinator on resourcing and scheduling.
- Partner with Solutions Architects on pre sales technical reviews.
Requirements
- 8+ years of hands on experience deploying complex enterprise infrastructure into customer environments.
- Proven experience leading and coordinating a mixed on site team through a live build.
- Deep production experience operating Kubernetes on bare metal, including air gapped or restricted network deployments.
- Strong Linux server administration (RHEL/Ubuntu).
- Solid datacenter hardware fluency: GPU class server hardware (NVIDIA HGX/SXM/PCIe), basic datacenter networking.
- Working knowledge of enterprise storage concepts (block, object, CSI).
- Outstanding customer maturity and strong communication skills.
- Fluent written and spoken English.
- Willingness to travel to UAE customer sites on short notice.
Full Job Posting
Company Overview
- Open Innovation AI is a global technology company specializing in advanced solutions for managing AI workloads. Its flagship product, the Open Innovation Cluster Manager (OICM), orchestrates complex AI tasks across diverse infrastructures.
Role Overview
- The Lead Delivery Engineer is the senior technical authority for the Delivery Engineering team, leading customer deployments from empty data hall to fully running platform on NVIDIA HGX GPU servers, high speed networking, enterprise storage, and the Open Innovation platform.
Role Responsibilities
- Lead each customer deployment on site from end to end, directing contracted installers, vendor field engineers, and Network Engineering team.
- Once hardware is ready, run platform deployment hands on: provisioning OS, standing up Kubernetes on bare metal, installing in cluster operators, and deploying Open Innovation products.
- Produce low level designs (LLDs) and as built documentation for each engagement.
- Act as senior technical escalation point for delivery engagements.
- Manage customer expectations and represent team's technical perspective.
- Define, document, and evolve deployment standards: runbooks, acceptance criteria, handoff checklists.
- Mentor and unblock delivery engineers in the field.
- Lead post incident and post deployment reviews.
- Partner with Delivery & Network Coordinator on resourcing, scheduling, and cross team handoffs.
- Partner with Solutions Architects on pre sales technical reviews.
- Travel to customer sites across the UAE on short notice when escalations require senior on site presence.
Required Experience & Qualification
- 8+ years of hands on experience deploying complex enterprise infrastructure into customer environments.
- Proven experience leading and coordinating a mixed on site team through a live build.
- Deep production experience operating Kubernetes on bare metal, including air gapped or restricted network deployments.
- Strong Linux server administration (RHEL/Ubuntu).
- Solid datacenter hardware fluency: GPU class server hardware (NVIDIA HGX/SXM/PCIe), basic datacenter networking.
- Working knowledge of enterprise storage concepts (block, object, CSI).
Customer facing bar
- Outstanding customer maturity; comfortable being senior voice in front of demanding customers.
- Strong communication skills in writing and live conversation.
- Track record of being steady, trusted presence on hard engagements.
- Demonstrable track record owning customer escalations end to end.
Other requirements
- Fluent written and spoken English.
- Willingness to travel to UAE customer sites, including remote and controlled environments, on short notice.
Preferred Qualifications
- Direct experience deploying NVIDIA HGX or H100/H200 class GPU systems.
- Production experience tuning NVIDIA GPU Operator and NVIDIA Network Operator on real workloads.
- Hands on experience with Pure Storage, NetApp, or comparable enterprise storage platforms.
What Success Looks Like in the First 90 Days
- Personally walked at least one in flight customer deployment from current state to clean handoff.
- Delivery team comes to you with technical questions instead of escalating to Head of Infrastructure.
- First version of deployment standards (runbook + acceptance checklist) in circulation and used by team.
- Customers on at least one active engagement know you by name and consider you their technical point of contact.
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