Strategic AI Infra Architect for Cloud & Multicloud

Oracle; Cheyenne (WY); On-site; USD 170,000 - 284,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Paid time off

401(k) matching

Employee Stock Purchase Plan

Flexible Spending Accounts

Job summary

Oracle in the United States is seeking a Master Principal or Distinguished Cloud Architect to lead strategic pursuits in OCI, guiding customer engagements from discovery through validation to decision and turning OCI’s infrastructure advantages into measurable wins.

You will architect differentiated AI infrastructure across Kubernetes, CPUs/GPUs, model serving, and multicloud connectivity while engaging with executives and engineering teams.

Qualifications

• Experience with large-scale cloud and distributed systems architecture.
• Deep knowledge of Kubernetes and cloud-native platforms.
• Proven ability to design AI infrastructure, inference, and model serving.
• Multicloud, distributed, and edge architectures experience is a plus.
• Strong focus on security, governance, and policy within cloud environments.

Responsibilities

• Lead strategic OCI opportunities, guiding engagements from discovery to decision.
• Architect differentiated AI infrastructure spanning AI inference, Kubernetes, CPUs/GPUs, and multicloud.
• Turn OCI strengths into measurable customer value including cost, performance, and resilience.
• Develop prototypes and proofs of value to win strategic work.

Skills

Strategic cloud architecture

Kubernetes & cloud-native platforms

AI infrastructure & model serving

Multicloud & distributed systems

Security, governance & policy

Tools

KServe

Triton

Envoy/Istio

Terraform/OpenTofu

Job description

Oracle in the United States is seeking a Master Principal or Distinguished Cloud Architect to lead strategic pursuits in OCI, guiding customer engagements from discovery through validation to decision and turning OCI’s infrastructure advantages into measurable wins.

You will architect differentiated AI infrastructure across Kubernetes, CPUs/GPUs, model serving, and multicloud connectivity while engaging with executives and engineering teams.