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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли чёткий фокус на платформенной инженерии в значимом банковском AI-проекте и современный стек Azure с Kubernetes; при этом консалтинговый формат может ограничивать влияние на долгосрочное развитие продукта.
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Проект для клиентаАктуальный стекПонятные задачиРабота с AIПоддержка обучения
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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