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2 дня назад

AI Platform Engineer (AI Infrastructure)

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Netherlands
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
AI Platform Engineer (AI Infrastructure) (Azure/LLMOps): Design, build, and maintain scalable, secure, and governable AI services and cloud-native infrastructure for an enterprise Data and AI platform with an accent on Azure, platform automation, and regulatory compliance. Focus on integrating AI services with AKS and supporting platforms, implementing CI/CD and infrastructure as code, and enabling observability, security, governance, and cost control for generative AI workloads.

Location: Hoofddorp, North Holland, Netherlands. Workplace type: In Person.

Company

hirify.global runs and reimagines mission-critical technology systems for leading businesses, delivering AI-powered insights and enterprise technology services.

What you will do

  • Design and develop scalable AI infrastructure aligned with enterprise standards for monitoring, networking, security, privacy, auditability, and governance.
  • Prototype emerging AI infrastructure components and translate them into enterprise standards while aligning regulatory requirements with architecture, security, risk, data governance, and platform teams.
  • Support AI developer teams by providing infrastructure, AI, and platform expertise, templates, and reference implementations.
  • Design and implement cloud-native solutions, CI/CD pipelines, platform automation, and infrastructure as code.
  • Develop integrations between AI services, AKS services, and supporting platforms.

Requirements

  • Strong Azure platform engineering skills, including networking and IAM with Entra ID.
  • Knowledge of Azure AI Services and Azure API Management.
  • Experience with reliability engineering for AI platforms, including observability, scalability, and availability.
  • Solid Python experience for troubleshooting and prototyping AI technologies.
  • Experience with DevOps best practices, including version control, CI/CD, and infrastructure as code.
  • Knowledge of generative AI, LLMOps, security and governance, cost and token tracking, and rate limiting.
  • Understanding of AI concepts including agents, RAG, evaluation, and prompt engineering.
  • Experience with observability and monitoring tools including Azure Monitor and Log Analytics.
  • Security and governance awareness, a Developer Experience mindset, systems thinking, and architecture modelling skills.

Culture & Benefits

  • Inclusive culture focused on belonging, empathy, kinship, and shared success.
  • Support for financial, mental, physical, and social well-being through Be Well programs.
  • Career development support through personalized goals, continuous feedback, coaching, and hands-on experience.
  • Access to learning opportunities and certifications with Microsoft, Google, and Amazon.
  • Dynamic, hybrid-friendly company culture, while this position is listed as in person.

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