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2 дня назад

Solution Architect Cloud AI

Формат работы
remote (Global)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Solution Architect Cloud AI (AI/ML): Designing and delivering scalable, secure, and production-ready AI solutions on cloud platforms with an accent on integrating cloud-native services, data platforms, and AI models. Focus on defining end-to-end solution architecture for AI/ML and GenAI initiatives, and guiding engineering teams through implementation.

Location: Choose to work from home, work at the office, or go hybrid. Coordinate with clients and teams across time zones to support your personal preferences.

Company

hirify.global is a company transforming experiences and improving business outcomes for global brands.

What you will do

  • Define end-to-end solution architectures for AI/ML and GenAI use cases on AWS/Azure/GCP.
  • Design scalable architectures for LLM-based applications, RAG pipelines, and AI services.
  • Create High-Level Designs (HLDs) and Low-Level Designs (LLDs) covering application, data, security, and deployment architecture.
  • Define integration patterns between AI services, data platforms, APIs, and enterprise applications.
  • Collaborate with engineering, data science, and DevOps teams to ensure successful implementation.
  • Translate business requirements into technical AI solutions.

Requirements

  • 12+ years of experience in solution architecture, cloud platforms, and enterprise systems.
  • Strong hands-on experience with cloud platforms (AWS / Azure / GCP).
  • Experience architecting AI/ML or GenAI solutions in production environments.
  • Strong understanding of data platforms, APIs, microservices, and cloud-native design.
  • Experience with CI/CD, DevOps, and Infrastructure as Code.
  • Excellent communication, leadership, and stakeholder-management skills.

Nice to have

  • Experience with LLMs, RAG architectures, vector databases, and AI model integration.
  • Knowledge of MLOps / LLMOps practices.
  • Exposure to containerization (Docker, Kubernetes).
  • Experience with security, governance, and compliance for AI systems.

Culture & Benefits

  • Fostering a rich and diverse work environment that fuels creativity, collaboration, and a deep sense of belonging.
  • Offering personal and professional development opportunities, on the job mentoring from in-house experts, and assistance for ongoing learning.
  • Supporting benefit choices that include personal and family needs.
  • Transforming experiences and improving business outcomes for global brands.
  • Choose to work from home, work at the office, or go hybrid. Coordinate with clients and teams across time zones to support your personal preferences.
  • Be an active part of our corporate social responsibility programs. Together, we can make our community better.

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