Distinguished Cloud Architect, Strategic AI Infrastructure Pursuits

Oracle

Confirmed live today High trust

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Work type
On-site
Location
—
Salary
$169,800–$284,300 / yr
Posted
8 days ago
Freshness
Confirmed live today

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Competitive pay

How this pay compares to similar roles

Similar $199k
This role $227k
$139k most similar roles pay here $300k

This role pays more than 61% of similar roles. Most pay $160,000–$237,312 — the shaded band above. At the midpoint, this role pays about $227k versus about $199k for comparable roles.

Based on 240 similar postings.

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About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 513 open roles on FindRole.

Listed pay typically runs $97,800–$209,500 across 384 roles with salary data.

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At a glance

TL;DR · Distinguished Cloud Architect, Strategic AI Infrastructure Pursuits

Distinguished Cloud Architect — Strategic AI Infrastructure Pursuits joins the Strategic Pursuits & Engagements team to translate Oracle Cloud Infrastructure advantages into strategic customer wins. This senior, customer-facing technical leadership role involves leading complex pursuits by designing production architectures for AI inference, Kubernetes, and model serving across distributed clouds and edge environments. The architect will build prototypes, benchmarks, and proofs of value to demonstrate improvements in cost, performance, and resilience. Key technical competencies include expertise in CPU/GPU infrastructure, networking economics, and high availability systems. Relevant technologies include KServe, vLLM, Triton, Ray, LiteLLM, Envoy, Istio, OpenTelemetry, MLflow, and Terraform/OpenTofu. The role addresses the critical business problem of lowering costs for delivering verified outcomes while maintaining resilient access to the models and capacity required to run enterprise AI workloads in production.

What you'll do

  • Lead technical strategy for complex enterprise opportunities by engaging directly with customer executives and engineering teams.
  • Design production architectures for AI inference, Kubernetes, multi-cloud connectivity, and distributed cloud systems.
  • Translate OCI infrastructure capabilities into measurable improvements in cost, performance, and operational resilience for customers.
  • Develop prototypes, benchmarks, and proofs of value to demonstrate technical superiority over competing solutions.
  • Create repeatable reference architectures, solution playbooks, and pursuit patterns based on successful customer engagements.
  • Act as the primary technical authority during both executive business discussions and deep-dive engineering sessions.
  • Identify where specific infrastructure advantages create a competitive edge for the customer's unique workload.

What we're looking for

  • Experience in large-scale cloud and distributed systems architecture.
  • Expertise in Kubernetes and cloud-native platforms.
  • Knowledge of compute, networking, storage, and GPU/accelerator-based infrastructure.
  • Expertise in AI/ML infrastructure, inference, and model serving.
  • Proficiency in multicloud, distributed, sovereign, and edge architectures.
  • Experience in high availability, resilient system design, performance engineering, and observability.
  • Knowledge of cloud economics, FinOps, security, identity, governance, and policy.
  • Experience with modern AI infrastructure technologies like KServe, vLLM, Triton, Ray, or Terraform (preferred).

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