Distinguished Cloud Architect, AI Infrastructure Pursuits

Oracle Cloud Infrastructure is seeking a Master Principal or Distinguished Cloud Architect to join the Strategic Pursuits & Engagements team and help turn OCI’s infrastructure advantages into strategic customer wins.

As enterprise AI moves into production, customers must solve two increasingly important problems:
continually lower the cost of delivering verified business outcomes and maintain resilient access to the models and capacity required to run their businesses. This creates an opportunity for OCI to differentiate through its infrastructure strengths—including compute and network economics, bare metal, Kubernetes, multicloud connectivity, and distributed cloud.

This is a senior, customer-facing technical leadership role. The successful candidate will help refine our strategy through direct market engagement, but their primary responsibility is to execute it with customers : identify opportunities where OCI can create a meaningful advantage, architect the solution, prove the differentiation, and help win the business.

Serve as a senior technical leader for some of OCI’s most important and complex opportunities, working directly with customer executives, architects, platform teams, and engineers from discovery through technical validation and decision.

Design production architectures spanning AI inference, Kubernetes, CPUs and GPUs, model serving, intelligent routing, multicloud, distributed cloud, edge, security, observability, and resilient execution across models, providers, regions, and capacity pools.

Connect OCI capabilities—including network economics, flexible compute, bare metal, multicloud connectivity, and distributed deployment—to measurable improvements in cost, performance, resilience, security, and operational control.

Move beyond presentations and architecture diagrams. Develop prototypes, benchmarks, demonstrations, and proofs of value that establish why an OCI-based architecture is better for the customer’s workload.

Use customer engagements to refine reference architectures, technical positioning, solution playbooks, and pursuit patterns. Work across OCI engineering, product, sales, partners, and field architecture to turn successful engagements into repeatable motions.

Operate comfortably from executive conversations about business outcomes and economics to deep technical sessions with principal engineers and architects. Challenge assumptions, navigate ambiguity, and build customer confidence through technical credibility.

We are looking for someone with exceptional depth in cloud infrastructure and distributed systems who can apply that experience to the rapidly evolving enterprise AI landscape.

The ideal candidate brings significant expertise across several of the following:

• Large-scale cloud and distributed systems architecture
• Kubernetes and cloud-native platforms
• Compute, networking, and storage architecture
• CPU, GPU, and accelerator-based infrastructure
• AI/ML infrastructure, inference, and model serving
• Multicloud, distributed, sovereign, and edge architectures
• High availability and resilient system design
• Performance engineering and observability
• Cloud economics and Fin Ops
• Security, identity, governance, and policy
• Open-source infrastructure and automation

Experience with modern AI infrastructure technologies—such as Kubernetes, KServe, vLLM, Triton, Ray, LiteLLM, Envoy, Istio, Open Telemetry, MLflow, Terraform/Open Tofu, AI gateways, and model platforms is highly relevant.

More important than expertise in any…