Назад
Company hidden
обновлено 16 часов назад

AI Architect (Agentic AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Spain
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
AI Architect (Agentic AI): Leading the design of Generative and Agentic AI architectures to drive enterprise-scale transformation with an accent on architectural coherence, scalability, and security. Focus on bridging business strategy with advanced AI technologies, guiding multidisciplinary teams, and implementing production-grade AI systems.

Location: Must be based in Madrid, Spain (Hybrid role).

Company

hirify.global is a global technology services company that designs, builds, manages, and modernizes mission-critical technology systems for the world’s leading businesses.

What you will do

  • Design and evolve end-to-end AI and Agentic AI architectures for enterprise-scale innovation.
  • Translate business objectives into high-impact, coherent technical strategies.
  • Act as a technical authority ensuring quality, scalability, and security in all AI solutions.
  • Guide multidisciplinary teams of data scientists and engineers toward architectural excellence.
  • Bridge the gap between business strategy and technology to ensure operational goals are met.
  • Foster a culture of technical rigor and responsible AI adoption.

Requirements

  • 7+ years of experience designing and delivering large-scale AI or ML architectures in complex enterprise environments.
  • Proven experience building and governing end-to-end AI systems including production deployment.
  • Deep knowledge of AI/ML architectures, cloud-native solutions, and distributed systems.
  • Familiarity with multi-agent frameworks (LangGraph, CrewAI, AutoGen) and RAG architectures (LangChain, LlamaIndex).
  • Proficiency in at least one major cloud provider (Azure, AWS, GCP) and associated AI platforms.
  • Solid understanding of MLOps frameworks such as MLflow, Kubeflow, or Airflow.

Nice to have

  • Exposure to edge AI or on-premise AI deployments in regulated industries.
  • Advanced studies (Master’s or PhD) in AI, Machine Learning, or Cloud Architecture.
  • Professional certifications in cloud architectures and MLOps frameworks.
  • Strong presentation and storytelling skills for executive audiences.

Culture & Benefits

  • Dynamic, hybrid-friendly work culture prioritizing well-being.
  • Comprehensive Be Well programs covering financial, mental, physical, and social health.
  • Access to cutting-edge learning opportunities and certifications with Microsoft, Google, and Amazon.
  • Focus on belonging, empathy, and shared success within a supportive team environment.
  • Personalized development goals and continuous feedback to support career growth.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →