Senior GenAI Infra Architect: Multi-Cloud AI Ops

Creative Solutions Services, LLC; Concord (CA); On-site; USD 96,000 - 110,000; Full time

Benefits offered by this job

Medical, dental and vision insurance

401(k) plan

AD&D insurance

Employee assistance program

HSA/ Flexible spending account

Job summary

NTT DATA seeks a senior leader to define and drive architecture for enterprise GenAI platforms in Concord, CA. You will influence roadmaps, lead cross-functional teams, and steward AI governance and platform scalability.

The role requires deep expertise in cloud-native architectures, AI/ML platforms, and production-ready systems. Hybrid on-site work in Concord with broad cross-cloud responsibilities is expected.

Qualifications

• 10 years of software engineering, infrastructure, and architecture experience.
• 5 years designing large-scale cloud-native platforms.
• Strong experience with Kubernetes/OpenShift, distributed systems, cloud architectures, AI/ML platforms, API platforms, Data platforms.
• Deep understanding of Generative AI, RAG architectures, Agentic AI, Model Serving, MLOps.
• Experience designing highly available Tier-1 production systems.

Responsibilities

• Define and lead architecture for GenAI platforms and AI governance.
• Drive multi-cloud platform design (OpenShift AI, Vertex AI, Gemini, Azure AI Foundry, AWS Bedrock).
• Oversee capacity planning, GPU platform strategy, and high-availability architectures.
• Ensure production systems are scalable, observable, and DR-ready.
• Collaborate with cross-functional teams to influence roadmaps.

Skills

Kubernetes/OpenShift

Distributed systems

Cloud architectures

AI/ML platforms

API platforms

Data platforms

Generative AI

RAG architectures

Agentic AI

Model Serving

MLOps

Software engineering

Job description

NTT DATA seeks a senior leader to define and drive architecture for enterprise GenAI platforms in Concord, CA. You will influence roadmaps, lead cross-functional teams, and steward AI governance and platform scalability.

The role requires deep expertise in cloud-native architectures, AI/ML platforms, and production-ready systems. Hybrid on-site work in Concord with broad cross-cloud responsibilities is expected.