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16 часов назад

Forward Deployed Engineer - AI Architect Lead (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Spain
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
Forward Deployed Engineer - AI Architect Lead (AI): Building and deploying custom AI solutions and agentic systems for customer engagements with an accent on end-to-end delivery, cloud platforms, distributed systems, and production reliability. Focus on designing multi-agent orchestration and RAG architectures, optimizing scalable AI systems, and translating business challenges into measurable technical outcomes.

Location: Madrid, Spain; willingness to travel and work on customer premises as required.

Company

hirify.global operates and modernizes mission-critical technology systems for leading businesses, including AI-powered solutions and platforms.

What you will do

  • Translate customer business challenges into fit-for-purpose technical solutions and lead solution design.
  • Build and iterate custom AI solutions using agentic AI frameworks.
  • Own delivery end to end, from scoping through production deployment, adoption, and measurable business outcomes.
  • Troubleshoot and optimize system performance, scalability, and reliability.
  • Capture deployment learnings, document best practices, and share insights with platform and product teams.
  • Contribute code and feedback to the evolution of hirify.global’s AI platforms.

Requirements

  • Demonstrable expertise in Python or another modern language such as C#, Node, or TypeScript.
  • Solid understanding of software delivery, Git and GitHub, Pandas, Spark, cloud AI platforms, and distributed computing architectures.
  • Deep expertise in one or two technical domains with broad knowledge of AI/ML, cloud, and consulting.
  • Experience or practical knowledge in agentic AI systems, multi-agent orchestration, agent protocols, RAG architectures, and structured and unstructured knowledge sources.
  • Knowledge of system optimization, security best practices, and translating business requirements into technical solutions for diverse stakeholders.
  • Degree-level qualification in Computer Science, Informatics, Data Science, Engineering, or a related discipline, or equivalent professional experience.

Nice to have

  • Experience with TensorFlow or PyTorch.
  • Familiarity with Hugging Face and community-driven AI tools and libraries.
  • Experience with LangGraph, Semantic Kernel, Agent Framework, AutoGen, CrewAI, or similar orchestration frameworks.

Culture & Benefits

  • Flexible, supportive, and hybrid-friendly company culture.
  • Programs supporting financial, mental, physical, and social well-being.
  • Career development tools, personalized goals, continuous feedback, coaching, and hands-on learning.
  • Access to certifications and learning opportunities from Microsoft, Google, and Amazon.
  • Culture centered on inclusion, empathy, belonging, continuous learning, and shared success.

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