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2 часа 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
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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.

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