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AI Architect – End‑to‑End Solutions for Sports, Health & Education

Starlink Qatar · Doha

New
Senior 🇬🇧 English
Azure AI Foundry Google Agent Builder Google SDK NLP Computer vision Predictive analytics SDLC SQL NoSQL Vector databases Knowledge graphs RAG

Job description

About the role

We are looking for an experienced AI Architect to design and deliver end‑to‑end AI solutions that solve complex business challenges across sports, performance, education and healthcare. You will translate business needs into secure, scalable AI architectures that integrate with existing enterprise systems.

Key responsibilities

  • Design and implement scalable AI architectures on cloud‑native platforms such as Azure AI Foundry and Google Agent Space, leveraging pre‑built services for NLP, computer vision and predictive analytics.
  • Integrate AI services with ERP, CRM, medical and sports performance platforms, connecting structured and unstructured data sources via APIs, middleware and automation tools.
  • Ensure AI governance, compliance with GDPR and HIPAA, and monitor systems for bias, transparency and explainability.
  • Deploy and customize existing AI models, configure conversational agents and analytics tools, and evaluate updates from cloud providers.
  • Partner with stakeholders to identify AI adoption opportunities, demonstrate measurable business value and act as a trusted advisor for AI‑enabled transformation.

Required profile

  • 8+ years of solution architecture experience, including at least 4 years on applied AI/ML projects.
  • Bachelor’s degree in Computer Science, AI, Data Science or Engineering.
  • Bilingual Arabic speaker (mandatory).
  • Relevant AI certifications (e.g., Microsoft Certified AI Developer/Architect, Azure AI Foundry, Google Cloud AI/ML).

Required skills

  • Expertise in AI concepts, tools, frameworks and models (NLP, computer vision, advanced data analytics).
  • Proficiency with Azure AI Foundry, Google Agent Builder, Google SDK for mobile agents and multi‑agent systems.
  • Strong knowledge of advanced Retrieval‑Augmented Generation (RAG) for enterprise knowledge management.
  • Hands‑on experience with SQL, NoSQL, vector databases and knowledge graphs.
  • Solid understanding of SDLC, requirements analysis, high‑level and detailed technical design.

Questions fréquentes

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Published 2 hours ago

Expires 1 month from now

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Starlink Qatar

Doha