Head of AI Platform, GPU & Kubernetes Engineering

IQVIA Argentina; Wayne (NJ); On-site; USD 120,000 - 334,000; Full time

Job summary

IQVIA seeks a Director, AI Platform Engineering & DevOps to lead strategy, architecture, engineering, and operational enablement of enterprise AI, Kubernetes, GPU, and DevOps platforms. You will partner with infrastructure engineering, data science, and business teams to design scalable, secure, cost-effective AI and cloud-native platforms.

The role supports enterprise adoption of Private AI, Generative AI, GPU-based computing, Kubernetes platform services, and RunAI capabilities, while

Qualifications

• Extensive experience in enterprise infrastructure architecture, platform engineering, Kubernetes, DevOps, cloud-native technologies, AI/ML infrastructure.
• Experience designing and supporting enterprise Kubernetes/container platforms, and experience with CI/CD, automation, and IaC practices.

Responsibilities

• Define and drive architecture strategy for enterprise AI, Private AI, Generative AI, GPU, Kubernetes, and cloud-native platform services.
• Lead design and evolution of scalable GPU infrastructure to support AI, ML, LLM, data science, and HPC workloads.
• Provide Kubernetes platform leadership, including workload orchestration, containerized platform design, resource management, scalability, reliability, and governance.
• Advance DevOps practices across platform services, including CI/CD enablement, automation, infrastructure as code, and operational efficiency.

Skills

Kubernetes

Platform engineering

DevOps

Cloud-native architecture

AI/ML infra

Education

Bachelor's Degree in Computer Science/Engineering

Tools

Terraform

Docker

GitHub Actions

Job description

IQVIA seeks a Director, AI Platform Engineering & DevOps to lead strategy, architecture, engineering, and operational enablement of enterprise AI, Kubernetes, GPU, and DevOps platforms. You will partner with infrastructure engineering, data science, and business teams to design scalable, secure, cost-effective AI and cloud-native platforms.

The role supports enterprise adoption of Private AI, Generative AI, GPU-based computing, Kubernetes platform services, and RunAI capabilities, while