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7 дней назад

Associate Director - AI Infrastructure Architect (AI Factory)

1 120 210 - 2 080 390CZK
Формат работы
onsite
Тип работы
fulltime
Грейд
director
Английский
c1
Страна
CR
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Associate Director - AI Infrastructure Architect (AI Factory) (AI infrastructure/Azure/AWS): Defining secure, compliant and economically sustainable infrastructure for AI training, inference, MLOps and LLMOps across public cloud and private environments with an accent on GPU capacity, workload governance and production adoption. Focus on designing reference architectures, model-serving and monitoring chains, data and access controls, and scalable transitions from proof of concept to business-critical services.

Location: Prague, Czech Republic

Annual base salary: CZK 1,120,210–2,080,390.

Company

hirify.global is a global pharmaceutical company developing medicines and supporting research and business operations with secure, compliant technology.

What you will do

  • Own the AI infrastructure reference architecture and standards for training, fine-tuning, inference and retrieval-augmented workloads across public cloud and private AI environments.
  • Define AI workload intake, architecture review, data classification, environment selection and production-readiness criteria.
  • Set guardrails for sensitive data, model access, logging, monitoring, resilience, retention, cost and secure operations.
  • Design GPU and accelerator capacity models, including shared pools, reservations, scheduling, quotas and burst-to-cloud patterns.
  • Define MLOps and LLMOps reference chains covering model registries, versioning, evaluation, deployment, drift monitoring and decommissioning.
  • Advise business, research, security, privacy and infrastructure stakeholders, maintain architecture decisions, evaluate emerging technologies and coach engineers and architects.

Requirements

  • 8+ years of experience in infrastructure, cloud or platform architecture, with a track record of designing and supporting enterprise-scale technology solutions.
  • Demonstrated experience building, deploying and operating AI and machine learning infrastructure in production.
  • Experience moving AI solutions from proof of concept to scalable, governed and business-critical services.
  • Strong knowledge of GPU and accelerator technologies, Kubernetes, container orchestration, Azure and AWS AI platforms.
  • Hands-on experience with model serving, inference optimization, MLOps/LLMOps, and modern data and vector pipeline architectures.
  • Understanding of identity and access management, observability, FinOps, cost optimization and secure AI platform operations.
  • Familiarity with Responsible AI, including explainability, auditability, logging, human oversight and risk controls.
  • Excellent stakeholder management and communication skills across technical and non-technical audiences, engineering, security, privacy and business teams.

Nice to have

  • Fluent English, written and spoken.
  • Additional languages.

Culture & Benefits

  • Individual contributor role with influence based on design quality, evidence and adoption rather than line management.
  • Flexible and hybrid working options where possible.
  • Insurance, retirement plans, wellbeing resources and global recognition programs.
  • At least 14 weeks of paid parental leave and eligibility for a performance-based bonus.
  • Commitment to pay equity, diversity, inclusion and reasonable accommodation during recruitment.

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