Director, AI Platform Engineering & DevOps

Location: Wayne, PA, United States of America

Base pay: $119,900.00–$334,200.00 annually; actual pay may vary based on qualifications, location, and schedule. Incentive plans, bonuses, and benefits may also be offered.

Company

hirify.global provides clinical research services, commercial insights, and healthcare intelligence for life sciences and healthcare organizations.

What you will do

• Define and drive architecture strategy for enterprise AI, Private AI, Generative AI, GPU, Kubernetes, and cloud-native platform services.
• Lead the design and evolution of scalable GPU infrastructure for AI, machine learning, LLM, data science, and high-performance computing workloads.
• Provide Kubernetes platform leadership covering workload orchestration, containerized platform design, resource management, scalability, reliability, and operational governance.
• Advance DevOps practices through CI/CD enablement, automation, infrastructure as code, configuration management, repeatable deployments, and operational efficiency.
• Partner with infrastructure, development, data science, architecture, and business teams to assess AI use cases, translate requirements into platform solutions, and support workload onboarding.
• Lead technology evaluations, capacity planning, roadmaps, business cases, cost optimization, workshops, demos, onboarding, troubleshooting, and operational enablement.

Requirements

• Extensive experience in enterprise infrastructure architecture, platform engineering, Kubernetes, DevOps, cloud-native technologies, AI/ML infrastructure, or high-performance computing environments.
• Experience designing and supporting enterprise Kubernetes or container platforms.
• Experience with DevOps, CI/CD, automation, and infrastructure as code practices.
• Experience architecting GPU-based infrastructure for AI, machine learning, or high-performance computing workloads.
• Experience with AI/ML platforms, Generative AI, LLM hosting approaches, or Private AI solutions.
• Experience partnering with developers, data scientists, architects, and business stakeholders to translate requirements into technical solutions.
• Experience performing vendor evaluations, technical comparisons, platform recommendations, and cost-benefit analysis.
• Experience leading complex cross-functional technology initiatives from concept through implementation and operational support.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, Data Science, or a related field is preferred; an equivalent combination of education, training, certifications, and relevant enterprise technology experience may be considered.
• Very strong written and verbal communication, stakeholder management, analytical, problem-solving, mentoring, and cross-functional leadership skills.
• Strong knowledge of Kubernetes, container orchestration, platform engineering, cloud-native architecture, DevOps, CI/CD pipelines, GitOps, infrastructure as code, automation, GPU infrastructure, AI/ML workloads, LLM infrastructure, and high-performance computing design.
• Ability to evaluate complex technical options, recommend scalable and cost-effective enterprise solutions, lead technical discovery sessions and enablement activities, and work under limited direction.

Nice to have

• Experience with RunAI or similar AI/GPU orchestration platforms.
• Experience with NVIDIA GPU platforms and AI infrastructure ecosystems.
• Experience with hybrid cloud, private cloud, virtualization, networking, storage, and enterprise compute platforms.
• Experience supporting AI adoption, developer enablement, workshops, platform onboarding, or technical evangelization.
• Experience preparing executive-level architecture recommendations, investment proposals, and technical roadmaps.

Culture & Benefits

• Work supports healthcare and life sciences initiatives aimed at improving patient outcomes and population health.
• Benefits, health and welfare programs, and potential incentive plans or bonuses may be available depending on the position.
• Equal opportunity employment is provided without regard to protected characteristics.