AI (Artificial Intelligence) Architect
نُشرت في :
30-09-2025
صاحب العمل نشط
1 وظيفة شاغرة
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكترونيValid email field required
أرسل الوظائف
شارك هذه الوظيفة
أرسل لي وظائف مشابهة
حالة تأهب وظيفة
سيتم تحديثك بأحدث تنبيهات الوظائف عبر البريد الإلكترونيValid email field required
أرسل الوظائف
الوصف الوظيفي
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.
- Bachelors 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.
- 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.
- Bachelors 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.
نوع التوظيف
دوام كامل
المهارات المطلوبة
الإبلاغ عن هذه الوظيفة
إخلاء المسؤولية: د.جوب هو مجرد منصة تربط بين الباحثين عن عمل وأصحاب العمل. ننصح المتقدمين بإجراء بحث مستقل خاص بهم في أوراق اعتماد صاحب العمل المحتمل.
نحن نحرص على ألا يتم طلب أي مدفوعات مالية من قبل عملائنا، وبالتالي فإننا ننصح بعدم مشاركة أي معلومات شخصية أو متعلقة بالحسابات المصرفية مع أي طرف ثالث. إذا كنت تشك في وقوع أي احتيال أو سوء تصرف، فيرجى التواصل معنا من خلال تعبئة النموذج الموجود على الصفحة اتصل بنا
