Director, AI Platform Engineering & DevOps
Core
Leading strategy, architecture, and operational enablement for enterprise AI, Kubernetes, GPU, and DevOps platforms to support Private AI, Generative AI, and high-performance compute workloads.
Role type
Director, AI Platform Engineering & DevOps
Builds
Scalable, secure, cost-effective AI and cloud-native platform services for enterprise adoption of Private AI and Generative AI.
Domain
Life sciences and healthcare intelligence / Enterprise AI Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Enterprise infrastructure architecture, Kubernetes platform leadership, DevOps practices (CI/CD, IaC), GPU infrastructure design, AI/ML workload architecture, vendor evaluation, capacity planning, executive-level technical proposal development, cross-functional leadership.
Preferred skills
RunAI or similar AI/GPU orchestration platforms, NVIDIA GPU platforms, hybrid cloud and private cloud environments, AI adoption enablement, executive roadmap development.
Technologies
Kubernetes, RunAI, NVIDIA GPU platforms, CI/CD, Infrastructure as Code, GitOps, Private AI, Generative AI, LLM hosting.
Responsibilities
Define architecture strategy for enterprise AI and GPU platforms; lead design of scalable GPU infrastructure; provide Kubernetes platform leadership; advance DevOps practices; partner with stakeholders to assess AI use cases; drive platform adoption through workshops and onboarding; develop technical proposals and cost optimization plans; lead capacity planning and future-state roadmaps; mentor technical resources.
Seniority
Director, strategic leadership with hands-on architectural guidance