Field AI Infrastructure Engineer - Customer Deployments

delos-data; Cambridge; On-site; GBP 115,000 - 135,000; Full time

Job summary

delos-data is seeking a Forward Deployed Engineer to be embedded with a strategic customer, solving deployment and operational challenges within the customer’s AI data center. You’ll work hands-on on GPU/XPU clusters, orchestration layers, and high-speed fabrics, while translating field learnings into new product features.

You will collaborate with engineering teams to design, implement, and deliver fixes, runbooks, and tooling, and participate in RFPs and technical evaluations.

Qualifications

• 5+ years in a hands-on infra engineering role with customer exposure.
• Proven AI data center deployments with GPU/XPU clusters.
• Strong problem-solving and scripting in Python/Bash.
• Experience with AI infra software such as Kubernetes, Slurm, Tinkerbell, MaaS.

Responsibilities

• Own production deployment for a strategic customer.
• Work hands-on in the customer's AI data center environment (GPU/XPU clusters).
• Lead integration, troubleshooting and performance tuning for production issues.
• Guide upgrades, cluster expansion, and feature rollouts.
• Build runbooks and automation tailored to the customer's environment.
• Collaborate with infrastructure, SRE, and platform engineering teams.
• Prototype fixes and tooling in Python/Bash for field deployments.
• Provide feedback to product/engineering on bugs and feature gaps.
• Support RFPs, RFIs, and proof-of-concept deployments.
• Represent the company at customer briefings and events.

Skills

Infra engineering

AI data center

Python scripting

Kubernetes/Slurm

Linux and containers

Communication skills

Travel readiness

Customer-facing

Education

Bachelor's or Master's in CS/EE

Tools

Kubernetes

Slurm

Tinkerbell

Canonical MaaS

Prometheus

Grafana

OpenTelemetry

Job description

delos-data is seeking a Forward Deployed Engineer to be embedded with a strategic customer, solving deployment and operational challenges within the customer’s AI data center. You’ll work hands-on on GPU/XPU clusters, orchestration layers, and high-speed fabrics, while translating field learnings into new product features.

You will collaborate with engineering teams to design, implement, and deliver fixes, runbooks, and tooling, and participate in RFPs and technical evaluations.