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Senior Cloud Architect (AI)

Формат работы
remote (только Colombia)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Europe/Canada +1 еще
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
Senior Cloud Architect (AI) (AWS, Python): Designing and delivering cloud, data, and AI/ML systems with an accent on cloud-native architectures, infrastructure as code, data platforms, and production AI integration. Focus on building microservices and serverless workloads, implementing MLOps and LLM capabilities, and solving complex scalability, security, and observability challenges.

Location: Bogota, Colombia (Remote Friendly)

Company

An applied AI engineering firm that designs and delivers AI co-workers and enterprise systems across cloud, data, and AI/ML.

What you will do

  • Contribute to architecture and delivery across cloud, data, and AI/ML systems.
  • Build and integrate cloud-native microservices, serverless applications, and containerized workloads on AWS.
  • Implement infrastructure as code, CI/CD pipelines, monitoring, logging, and observability.
  • Design data architectures covering pipelines, warehouses, data modeling, and ETL/ELT.
  • Support AI/ML system design, model serving, MLOps pipelines, and LLM-based integrations.
  • Collaborate with engineering, data, AI, and product teams while documenting decisions and mentoring junior engineers.

Requirements

  • 5+ years of professional software engineering experience with exposure to architectural decision-making.
  • Strong software engineering skills, including Python and at least one additional modern language such as Java, Scala, or TypeScript.
  • Hands-on experience with cloud-native architectures, microservices, serverless, containers, and event-driven systems.
  • Experience with infrastructure as code, CI/CD, relational and NoSQL databases, and data pipelines.
  • Familiarity with AI/ML system design, model deployment, MLOps, LLM integration, cloud security, identity, access management, and observability.
  • Daily use of AI-forward tools such as Claude and Cursor, plus strong problem-solving and technical communication skills.

Nice to have

  • Experience with compliance and security frameworks such as GDPR, HIPAA, or SOC 2.
  • Experience mentoring engineers and contributing to architectural standards and best practices.

Culture & Benefits

  • Remote-friendly role embedded in a cross-functional delivery team.
  • Work on production-ready AI systems designed for real enterprise workflows.
  • Emphasis on ownership, direct feedback, craftsmanship, continuous learning, and practical delivery.
  • Collaboration with experienced teams averaging more than 15 years of experience.

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