AI Solution Architect (AWS + Azure)

We have an urgent requirement for an AI Solution Architect (AWS + Azure) for our banking client in Abu Dhabi, UAE.Strong experience on AWS: SageMaker, Lambda, EKS (Kubernetes) – MustStrong experience on Azure: Azure ML, Azure OpenAI, AI Foundry – MustStrong experience on designing production‑grade AI/ML platforms for enterprise‑scale workloads – MustStrong experience on GenAI implementations (e.g., Azure OpenAI, LLMs) – MustStrong experience on RAG (Retrieval‑Augmented Generation) pipelines – MustStrong experience on implementing MLOps pipelines (CI/CD for models, monitoring, retraining) – MustWe are hiring an experienced AI Solution Architect to design and lead enterprise‑scale AI/ML and Generative AI platforms for the banking domain. This role requires strong hands‑on experience with AWS and Azure, deep understanding of secure cloud architectures, and the ability to lead engineering teams end to end.You will work closely with business, data science, engineering, and security teams to build scalable, compliant, and production‑ready AI solutions.Key ResponsibilitiesDesign and architect enterprise‑grade AI/ML and GenAI platforms for banking use cases.Lead and mentor AI/ML and platform engineers.Build secure and scalable cloud architectures using AWS (SageMaker, EKS, Lambda) and Azure (Azure ML, Azure OpenAI, AI Foundry).Design and implement MLOps pipelines (model training, deployment, monitoring, retraining).Implement governance, security, and compliance aligned with banking regulations.Design RAG (Retrieval‑Augmented Generation) architectures for GenAI applications.Work with Kubernetes for containerized AI workloads.Collaborate with stakeholders to translate business requirements into technical solutions.Ensure performance, reliability, and cost optimization of AI platforms.Required Skills & Experience8+ years of experience in AI/ML solution architecture.Strong experience in banking or financial services AI platforms.Hands‑on expertise with AWS SageMaker and Azure ML.Experience with Azure OpenAI and GenAI use cases.Solid understanding of MLOps, model governance, and AI lifecycle management.Experience with Kubernetes (EKS) and cloud‑native architectures.Strong knowledge of security, data privacy, and regulatory requirements.Skills: azure, aws, architect, ai#J-18808-Ljbffr