Enterprise Architect – AI Architect

We're Hiring | Enterprise Architect – AI Architect 🚀 📍 Location: Dubai, UAE (Onsite) 📅 Contract Duration: 12 Months Key Responsibilities: ✔ Define and drive enterprise AI architecture strategy and future-state roadmaps ✔ Establish AI architecture standards, patterns, and reference architectures ✔ Lead AI/ML, GenAI, MLOps, LLMOps, AIOps, and Agentic AI initiatives ✔ Govern technology standards, architecture frameworks, and AI platform adoption ✔ Develop technology roadmaps, modernization strategies, and lifecycle management ✔ Collaborate with technology owners, solution architects, and governance teams Required Skills: ✅ 15+ years in Enterprise, Domain, or Solution Architecture ✅ Strong hands-on background in AI/ML Engineering, Generative AI, MLOps, AIOps, LLMOps, and Agentic Systems ✅ Experience with AI model lifecycle management and Data Architecture ✅ Public Cloud expertise (AWS and/or Azure) with Hybrid Cloud integration ✅ Strong knowledge of enterprise platforms, cloud technologies, containers, middleware, databases, and security ✅ Experience within banking or other highly regulated environments ✅ Familiarity with TOGAF and Cloud certifications (preferred) ✅ Experience working in Agile and DevOps environments #Hiring #EnterpriseArchitect #AIArchitect #ArtificialIntelligence #GenerativeAI #GenAI #MachineLearning #MLOps #LLMOps #AIOps #AgenticAI #EnterpriseArchitecture #CloudArchitecture #AWS #Azure #DubaiJobs #UAEJobs #BankingJobs #TechJobs Show more Show less

15+ years in Enterprise, Domain, or Solution Architecture; Experience with AI model lifecycle management and Data Architecture; Public Cloud expertise (AWS and/or Azure) with Hybrid Cloud integration; Experience within banking or other highly regulated environments; Familiarity with TOGAF and Cloud certifications (preferred); Experience working in Agile and DevOps environments.

Define and drive enterprise AI architecture strategy and future-state roadmaps; Establish AI architecture standards, patterns, and reference architectures; Lead AI/ML, GenAI, MLOps, LLMOps, AIOps, and Agentic AI initiatives; Govern technology standards, architecture frameworks, and AI platform adoption; Develop technology roadmaps, modernization strategies, and lifecycle management; Collaborate with technology owners, solution architects, and governance teams.