Senior Cloud Solutions Architect — Media & Entertainment (AI/ML)

Amazon Web Services EMEA Dubai FZ Branch

Dubai

On-site

AED 360,000 - 600,000

Full time

14 days+

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Job summary

AWS is seeking a Senior Solutions Architect for its Commercial Sector Enterprise team in the UAE to design cloud solutions for Media and Entertainment customers. You will own hands-on design, prototype production-grade architectures, and guide teams from concept to production, with a strong emphasis on AI/ML and scalable content workflows.

You will collaborate across technical and business stakeholders, communicate complex ideas clearly, and contribute to public content and reference

Qualifications

8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience, or Bachelor's degree in computer science, engineering, mathematics or equivalent
5+ years of design, implementation, or consulting in applications and infrastructures experience
Experience architecting or deploying Cloud/Virtualization solutions in enterprise customers
Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
5+ years of infrastructure architecture, database architecture and networking experience
Experience working with end user or developer communities
Experience migrating or transforming legacy customer solutions to the cloud
Experience architecting/operating solutions built on AWS
Experience in production and post production
Experience in Media Supply Chain & Content Management
Experience in Direct-to-Consumer (D2C) Streaming
Experience in Broadcast & Playout

Responsibilities

Partner with enterprise Media and Entertainment customers to understand business objectives, assess technology landscape, and architect cloud solutions that deliver real outcomes
Building hands-on: prototypes, proofs of concept, reference architectures, and production-ready designs
Helping customers adopt and build with generative AI and machine learning — identifying high-value use cases and guiding teams from experimentation to production
Acting as the customer's technical advocate inside AWS — translating field insights into prioritized feedback
Creating and sharing technical content that scales impact: workshops, blog posts, code samples, reference architectures, and public talks