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6 дней назад

AI Platform Engineer (Azure)

Формат работы
hybrid
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

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TL;DR
AI Platform Engineer (Azure): Building and maintaining scalable, secure, and governable AI services for a bank-wide data and AI platform with an accent on Azure infrastructure, LLMOps, security, and compliance. Focus on designing cloud-native platforms, implementing CI/CD and automation, integrating AI and Kubernetes services, and enabling developer teams through templates and reference implementations.

Location: Partially remote, Hoofddorp, North Holland, Netherlands

Company

hirify.global operates and reimagines mission-critical technology systems for leading businesses, including enterprise AI and data platforms.

What you will do

  • Design, develop, and maintain scalable AI infrastructure and services for the bank's Atlas data and AI platform.
  • Build infrastructure aligned with monitoring, networking, security-by-design, privacy, auditability, and governance standards.
  • Prototype emerging AI infrastructure components and translate them into enterprise standards.
  • Collaborate with architecture, security, risk, data governance, regulatory, and platform teams.
  • Build templates and reference implementations and support teams consuming AI platform services.
  • Implement cloud-native solutions, CI/CD pipelines, platform automation, and integrations between AI services, AKS, and supporting platforms.

Requirements

  • Strong platform engineering skills on Azure, 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 background for troubleshooting and prototyping AI technologies.
  • Experience with DevOps best practices, 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 using Azure Monitor and Log Analytics.
  • Security and governance awareness, a Developer Experience mindset, systems thinking, and architecture modelling skills.

Culture & Benefits

  • Partially remote and hybrid-friendly work environment.
  • Support for financial, mental, physical, and social well-being through Be Well programs.
  • Career development through personalized goals, continuous feedback, coaching, and hands-on experience.
  • Learning opportunities and certifications with Microsoft, Google, and Amazon.
  • Inclusive culture focused on belonging, empathy, continuous learning, and shared success.

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