Strategic AI Infrastructure Architect

Oracle; Salem (OR); On-site; USD 170,000 - 284,000; Full time

Benefits offered by this job

Medical, dental, and vision

Life insurance

Disability coverage

Paid time off

401(k) with company match

Commuter benefits

Volunteer programs

Job summary

Oracle Corporation’s Oracle Cloud Infrastructure unit seeks a Master Principal or Distinguished Cloud Architect to lead strategic pursuits and architect differentiated AI infrastructure. You will engage with customer executives, platform teams, and engineers from discovery to validation and decision, advancing OCI opportunities with technical credibility.

Responsibilities include designing production architectures for AI inference, Kubernetes, CPUs/GPUs, and multicloud deployment, then proving

Qualifications

• Exceptional depth in cloud infrastructure and distributed systems
• Ability to architect AI infrastructure at scale and across multicloud environments
• Experience translating technical differentiation into customer value

Responsibilities

• Lead strategic OCI opportunities through technical leadership
• Architect AI infrastructure spanning inference, Kubernetes, CPUs/GPUs, and model serving
• Turn OCI differentiation into measurable customer value across multiple regions and capacity pools
• Develop prototypes, benchmarks, and proofs of value to validate architectures
• Collaborate with OCI engineering, product, sales, partners, and field teams to repeat success

Skills

Cloud architecture

Kubernetes

Distributed systems

AI infrastructure

Multicloud

Security governance

Observability

FinOps

Open-source

Performance engineering

Tools

KServe

vLLM

Triton

Ray

LiteLLM

Envoy

Istio

OpenTelemetry

MLflow

Terraform/OpenTofu

Job description

Oracle Corporation’s Oracle Cloud Infrastructure unit seeks a Master Principal or Distinguished Cloud Architect to lead strategic pursuits and architect differentiated AI infrastructure. You will engage with customer executives, platform teams, and engineers from discovery to validation and decision, advancing OCI opportunities with technical credibility.

Responsibilities include designing production architectures for AI inference, Kubernetes, CPUs/GPUs, and multicloud deployment, then proving