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AI (Artificial Intelligence) Architect - Qatar

AI (Artificial Intelligence) Architect - Qatar

MP DOMINIC AND CODoha, Qatar
1 day ago
Job type
  • Quick Apply
Job description

Job Summary (List Format) :

  • Design and deliver end-to-end AI solutions focused on sports, sport performance, education, and medical sectors.
  • Develop scalable AI architectures using cloud-native platforms such as Azure AI Foundry and Google Agent Space.
  • Leverage pre-built AI services (NLP, computer vision, predictive analytics) to accelerate solution implementation.
  • Integrate AI solutions with enterprise systems (ERP, CRM, medical, and sports performance platforms) and manage both structured and unstructured data sources.
  • Ensure compliance with data regulations (GDPR, HIPAA, etc.), and implement AI governance, security, and risk management best practices.
  • Deploy, customize, and optimize AI models for real-world applications; monitor system performance, scalability, and reliability.
  • Serve as a liaison and advisor to internal stakeholders and clients, identifying opportunities for AI adoption and demonstrating measurable business value.
  • Track and report on KPIs and ROI for AI deployments.
  • Stay updated on advancements from cloud AI providers and implement relevant system improvements.
  • Collaborate with cross-functional teams, bridging technical and business requirements.

Qualifications :

  • 8+ years of experience in Solution Architecture, with at least 4 years in applied AI / ML projects.
  • Bachelor's degree in Computer Science, AI, Data Science, IT, or Engineering.
  • Relevant certifications (e.g., MS Certified AI Developer / Architect, Azure AI Foundry, Google Cloud AI / ML platforms).
  • Required Skills :

  • Proven expertise in developing and deploying AI projects.
  • Proficiency in AI concepts, tools, frameworks, and models.
  • Strong solution architecture skills, including architecture evaluation, component modeling, and impact analysis.
  • Proficient in SDLC, requirements analysis, and both high-level and detailed technical design.
  • Advanced proficiency in Azure AI Foundry and Google Agent Builder for enterprise AI deployment.
  • Knowledge of Advanced RAG for knowledge management, and experience with SQL, NoSQL, vector databases, knowledge graphs.
  • Ability to design secure, scalable, and high-performance AI systems.
  • Excellent communication skills for interfacing with technical and non-technical stakeholders.
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