Black & Grey HR is recruiting for an established technology solutions and services provider in Doha Qatar. Our client is seeking an experienced AI Architect to design and deliver scalable AI solutions that create measurable business impact. The ideal candidate will have hands-on expertise in applied AI/ML along with strong architectural design capabilities and the ability to collaborate effectively in Arabic with regional stakeholders.
Key Responsibilities:
- Lead the end-to-end architecture and deployment of AI systems using cloud-native platforms such as Azure AI Foundry and Google Agent Space.
- Utilize NLP computer vision predictive analytics and multi-agent frameworks to accelerate AI solution development.
- Align AI strategies with business priorities in sports performance medical operations and education environments.
- Integrate AI capabilities with enterprise systems including ERP CRM sports analytics platforms and medical record systems.
- Establish seamless data workflows between structured and unstructured data sources through APIs middleware and automation.
- Ensure compliance with GDPR HIPAA and Qatar data protection regulations while promoting responsible AI governance.
- Deploy fine-tune and optimize conversational AI models applied ML solutions and knowledge systems for real-world usage.
- Work with business leaders to identify impactful AI use cases and demonstrate ROI via pilot implementations and scaled rollouts.
- Monitor system performance scalability and reliability and drive continuous improvements across AI pipelines.
- Define KPIs and track performance metrics to evaluate the value delivered by AI initiatives.
Requirements
- Bachelors degree in Computer Science Artificial Intelligence Data Science IT or Engineering.
- 8 years of experience in Solution Architecture including a minimum of 4 years in applied AI/ML project environments.
- Arabic fluency is mandatory.
- Certifications in Azure AI Google Cloud AI or software architecture are preferred.
- Hands-on experience with Azure AI Foundry Google Agent Builder vector databases knowledge graphs and RAG-based architectures.
- Strong knowledge of SDLC enterprise architecture system integration and technical design documentation.
- Ability to design secure scalable and high-performance applied AI systems.
- Excellent communication skills with the ability to convey complex concepts to both technical and business audiences.
Benefits
- Competitive Salary Benefits Package
Required Skills:
- Lead the end-to-end architecture and deployment of AI systems using cloud-native platforms such as Azure AI Foundry and Google Agent Space. - Utilize NLP computer vision predictive analytics and multi-agent frameworks to accelerate AI solution development. - Align AI strategies with business priorities in sports performance medical operations and education environments. - Integrate AI capabilities with enterprise systems including ERP CRM sports analytics platforms and medical record systems. - Establish seamless data workflows between structured and unstructured data sources through APIs middleware and automation. - Ensure compliance with GDPR HIPAA and Qatar data protection regulations while promoting responsible AI governance. - Deploy fine-tune and optimize conversational AI models applied ML solutions and knowledge systems for real-world usage. - Work with business leaders to identify impactful AI use cases and demonstrate ROI via pilot implementations and scaled rollouts. - Monitor system performance scalability and reliability and drive continuous improvements across AI pipelines. - Define KPIs and track performance metrics to evaluate the value delivered by AI initiatives.
Required Education:
- Bachelors degree in Computer Science Artificial Intelligence Data Science IT or Engineering.- 8 years of experience in Solution Architecture including a minimum of 4 years in applied AI/ML project environments.- Arabic fluency is mandatory.- Certifications in Azure AI Google Cloud AI or software architecture are preferred.- Hands-on experience with Azure AI Foundry Google Agent Builder vector databases knowledge graphs and RAG-based architectures.- Strong knowledge of SDLC e
Black & Grey HR is recruiting for an established technology solutions and services provider in Doha Qatar. Our client is seeking an experienced AI Architect to design and deliver scalable AI solutions that create measurable business impact. The ideal candidate will have hands-on expertise in applied...
Black & Grey HR is recruiting for an established technology solutions and services provider in Doha Qatar. Our client is seeking an experienced AI Architect to design and deliver scalable AI solutions that create measurable business impact. The ideal candidate will have hands-on expertise in applied AI/ML along with strong architectural design capabilities and the ability to collaborate effectively in Arabic with regional stakeholders.
Key Responsibilities:
- Lead the end-to-end architecture and deployment of AI systems using cloud-native platforms such as Azure AI Foundry and Google Agent Space.
- Utilize NLP computer vision predictive analytics and multi-agent frameworks to accelerate AI solution development.
- Align AI strategies with business priorities in sports performance medical operations and education environments.
- Integrate AI capabilities with enterprise systems including ERP CRM sports analytics platforms and medical record systems.
- Establish seamless data workflows between structured and unstructured data sources through APIs middleware and automation.
- Ensure compliance with GDPR HIPAA and Qatar data protection regulations while promoting responsible AI governance.
- Deploy fine-tune and optimize conversational AI models applied ML solutions and knowledge systems for real-world usage.
- Work with business leaders to identify impactful AI use cases and demonstrate ROI via pilot implementations and scaled rollouts.
- Monitor system performance scalability and reliability and drive continuous improvements across AI pipelines.
- Define KPIs and track performance metrics to evaluate the value delivered by AI initiatives.
Requirements
- Bachelors degree in Computer Science Artificial Intelligence Data Science IT or Engineering.
- 8 years of experience in Solution Architecture including a minimum of 4 years in applied AI/ML project environments.
- Arabic fluency is mandatory.
- Certifications in Azure AI Google Cloud AI or software architecture are preferred.
- Hands-on experience with Azure AI Foundry Google Agent Builder vector databases knowledge graphs and RAG-based architectures.
- Strong knowledge of SDLC enterprise architecture system integration and technical design documentation.
- Ability to design secure scalable and high-performance applied AI systems.
- Excellent communication skills with the ability to convey complex concepts to both technical and business audiences.
Benefits
- Competitive Salary Benefits Package
Required Skills:
- Lead the end-to-end architecture and deployment of AI systems using cloud-native platforms such as Azure AI Foundry and Google Agent Space. - Utilize NLP computer vision predictive analytics and multi-agent frameworks to accelerate AI solution development. - Align AI strategies with business priorities in sports performance medical operations and education environments. - Integrate AI capabilities with enterprise systems including ERP CRM sports analytics platforms and medical record systems. - Establish seamless data workflows between structured and unstructured data sources through APIs middleware and automation. - Ensure compliance with GDPR HIPAA and Qatar data protection regulations while promoting responsible AI governance. - Deploy fine-tune and optimize conversational AI models applied ML solutions and knowledge systems for real-world usage. - Work with business leaders to identify impactful AI use cases and demonstrate ROI via pilot implementations and scaled rollouts. - Monitor system performance scalability and reliability and drive continuous improvements across AI pipelines. - Define KPIs and track performance metrics to evaluate the value delivered by AI initiatives.
Required Education:
- Bachelors degree in Computer Science Artificial Intelligence Data Science IT or Engineering.- 8 years of experience in Solution Architecture including a minimum of 4 years in applied AI/ML project environments.- Arabic fluency is mandatory.- Certifications in Azure AI Google Cloud AI or software architecture are preferred.- Hands-on experience with Azure AI Foundry Google Agent Builder vector databases knowledge graphs and RAG-based architectures.- Strong knowledge of SDLC e
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Experience Required:
Posted on:
9 hours ago
Vacancies:
1 Vacancy
