Head of AI Platform Engineering & DevOps

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

Job summary

IQVIA seeks a Director to lead the AI Platform Engineering & DevOps strategy, architecture, and operations for enterprise AI, GPU, Kubernetes, and cloud-native platforms. You will partner with data science, software, and business teams to design scalable, secure platforms and enable efficient AI adoption.

Role requires deep expertise in enterprise infrastructure, Kubernetes, DevOps, and GPU-based AI infrastructure, with strong leadership to mentor teams and drive cost optimization and

Qualifications

• Bachelor’s degree in CS, IT, Engineering, Data Science, or related field preferred.
• Equivalent combination of education, training certifications and enterprise technology experience may be considered.

Responsibilities

• Define architecture strategy for enterprise AI, GPU, Kubernetes, and cloud-native platforms.
• Lead GPU infrastructure design for AI/ML workloads.
• Provide Kubernetes platform leadership including orchestration and governance.
• Advance DevOps across platform services with CI/CD, automation, and IaC.
• Partner with developers, data scientists, and architects to assess AI use cases and platform solutions.

Skills

Kubernetes

Container orchestration

Platform engineering

Cloud-native architecture

DevOps practices

CI/CD pipelines

GitOps

GPU infrastructure

AI/ML workloads

Education

Bachelor's Degree in Computer Science or related field

Tools

RunAI

NVIDIA GPU platforms

Job description

IQVIA seeks a Director to lead the AI Platform Engineering & DevOps strategy, architecture, and operations for enterprise AI, GPU, Kubernetes, and cloud-native platforms. You will partner with data science, software, and business teams to design scalable, secure platforms and enable efficient AI adoption.

Role requires deep expertise in enterprise infrastructure, Kubernetes, DevOps, and GPU-based AI infrastructure, with strong leadership to mentor teams and drive cost optimization and