AI Software & Platform Architect

AI Software & Platform Architect – DubaiDiscover the Opportunity:We're partnering with an innovative AI technology company that is building next-generation intelligent software platforms for enterprise customers.As the business continues to scale, they're looking for a Software & Platform Architect to bridge modern software engineering with cloud infrastructure, ensuring AI-powered applications are delivered through secure, scalable, and highly available platforms.This is a highly hands-on role combining software architecture, cloud-native engineering, and platform design. You'll work closely with AI, product, and engineering teams to build production-grade systems that support the delivery of cutting-edge AI applications.Discover the Responsibilities:Design, build, and maintain scalable software applications and cloud-native platforms that support AI-powered productsPartner with AI and engineering teams to integrate machine learning models into production applications, ensuring performance, reliability, and maintainabilityDesign cloud architectures across AWS, Azure, GCP, or hybrid environments, with a strong focus on scalability, resilience, and automationLead architectural decisions around Kubernetes, microservices, Infrastructure-as-Code, CI/CD, and modern deployment strategiesImplement observability, monitoring, logging, and performance optimisation to ensure highly available production systemsDrive engineering best practices across software architecture, security, automation, and platform reliabilityCollaborate with cross-functional stakeholders to translate business requirements into scalable technical solutionsDiscover the Requirements:5+ years of experience designing and delivering cloud-native software platforms and distributed systems in production environmentsStrong software engineering background using languages such as Python, Go, or similar, alongside experience building scalable backend servicesDeep experience with AWS, Azure, or GCP, Kubernetes, containerisation, Infrastructure-as-Code (Terraform, Pulumi or similar), and modern CI/CD practicesStrong understanding of microservices architecture, GitOps, observability, and platform automation using modern engineering toolingExperience integrating AI or machine learning models into production systems using APIs, SDKs, or microservicesKnowledge of MLOps, cloud infrastructure, and supporting AI workloads in scalable production environments would be highly advantageousStrong appreciation for platform security, cloud networking, data protection, and building highly resilient systemsExcellent communication skills with the ability to influence architectural decisions and collaborate effectively across engineering, product, and business teams