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2 часа назад

Solutions Architect (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
c1
Страна
UK/Qatar
Релокация
UK/Qatar
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Solutions Architect (AI): Bridging the gap between advanced quantum-AI technology and enterprise customer needs with an accent on pre-sales consulting, technical proposal design, and infrastructure architecture. Focus on designing scalable AI solutions, sizing GPU infrastructure for LLM workloads, and delivering hands-on product demonstrations for complex industrial challenges.

Location: Must be based in or able to relocate to London, UK or Doha, Qatar

Company

hirify.global is a leading deep-tech company specializing in quantum software and advanced AI solutions for enterprise-level challenges across finance, energy, and manufacturing.

What you will do

  • Lead technical pre-sales engagements, including product demonstrations and RFP responses.
  • Design scalable AI and ML architectures using cloud platforms like AWS, Azure, and GCP.
  • Size and optimize GPU infrastructure for LLM inference and training workloads.
  • Collaborate with customers to define technical requirements and bridge the gap to internal engineering teams.
  • Implement MLOps practices including CI/CD, containerization with Docker/Kubernetes, and model orchestration.
  • Benchmark and evaluate LLM performance metrics such as latency, throughput, and accuracy.

Requirements

  • Must have legal authorization to work in the UK or Qatar
  • Proficiency in both English and Arabic
  • Proven experience in a technical pre-sales, sales engineering, or consulting role.
  • Strong hands-on coding skills in Python and SQL.
  • Deep knowledge of cloud AI services and LLM inference stacks like vLLM or llama.cpp.
  • Experience with MLOps tools and containerization technologies.

Nice to have

  • Experience with RAG pipelines and multi-agent systems.
  • Knowledge of data privacy regulations like GDPR and local AI Acts.
  • Background in Computer Vision or Speech model deployment.
  • Experience with big data architectures and streaming technologies.

Culture & Benefits

  • Hybrid work environment with flexible working hours.
  • Relocation package provided where applicable.
  • Access to educational budget for professional development.
  • Language classes and discounted lunch options.
  • Opportunity to work on cutting-edge quantum-AI technology in a high-growth environment.

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