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Snr Solution Architect, UAE Enterprise

Amazon is hiring a Snr Solution Architect, UAE Enterprise in Dubai, United Arab Emirates. Level rates it ; you can apply on Amazon.

Level's read on this job

  • Works on AI ●●●○ is how Level rates this solutions architect role: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include AWS, Generative AI and Machine learning.
  • Level classifies it as a senior role.
  • Level lists 20,000+ other open roles at Amazon.

AI in this role

Senior Solutions Architect helping enterprise media customers design cloud solutions and integrate generative AI.

AWSGenerative AIMachine learning
Amazon Web Services (AWS) is looking for a Senior Solutions Architect to join our Commercial Sector Enterprise team in the UAE. You will work directly with customers in Media and Entertainment organizations navigating complex digital transformations where the technology strategy is not yet defined and the right path forward requires both technical depth and business judgment.

This is a builder role. You will go into customer environments, understand their hardest problems, and design solutions that work — from whiteboard architecture through proof of concept to production. You will bring deep expertise across cloud infrastructure, modern application development, data and analytics, and increasingly, generative AI and machine learning. You will earn trust by shipping things that matter, not by presenting slides.

You will be part of a collaborative, supportive team that values curiosity, ownership, and impact. We learn from each other, develop each other, and build an environment where every voice is heard.

Key job responsibilities
Key job responsibilities
As a Senior Solutions Architect, you will own the technical relationship with customers end-to-end. This means:

- Partnering with enterprise Media and Entertainment customers to understand their business objectives, assess their current technology landscape, and architect cloud solutions that deliver real outcomes — in cost optimization, operational efficiency, security, reliability, and innovation.

- Building hands-on: prototypes, proofs of concept, reference architectures, and production-ready designs. You lead by doing, not just advising.

- Helping customers adopt and build with generative AI and machine learning — identifying high-value use cases, designing architectures for foundation models and intelligent applications, and guiding teams from experimentation to production.

- Acting as the customer's technical advocate inside AWS — translating field insights into clear, prioritized feedback that shapes the roadmap for AWS services and features.

- Creating and sharing technical content that scales your impact: workshops, blog posts, code samples, reference architectures, and public talks at meetups, user groups, and conferences.


A day in the life
No two days look the same. You might spend the morning whiteboarding a cloud-based post-production architecture, then pivot to a hands-on working session helping a broadcaster's engineering team design an IP-based live production workflow. In the afternoon you might review a colleague's streaming platform architecture proposal, draft a blog post on a media supply chain pattern you discovered in the field, or hop on a call with an AWS service team to advocate for a feature your customer needs. You balance depth with breadth, strategic thinking with hands-on execution, and customer urgency with long-term technical direction.

About the team
AWS Solutions Architects in MENAT are a tight-knit team of builders and technologists who are passionate about helping customers in one of the world's fastest-growing cloud markets. We work across diverse industries and cultures, which demands adaptability, curiosity, and genuine respect for our customers' contexts. We support each other through knowledge sharing, peer reviews, and a culture of continuous learning. We believe the best ideas come from diverse perspectives, and we actively foster an inclusive environment where everyone can do their best work.

Basic 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

Preferred qualifications

- 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

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

How we rate this

Snr Solution Architect, UAE Enterprise at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AWSGenerative AIMachine learning

Also common in solutions architect jobs at this level

Pay

Typical solutions architect job
$169k

This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs

Questions you could be asked

  1. What's a project where you used AWS hands-on?
  2. Walk me through how you've used Generative AI in your day-to-day work.
  3. What are the limits of Machine learning that you've run into, and how did you work around them?
  4. Describe a typical day in a role like this one: which parts run through AI directly?
  5. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: AWS, Generative AI, and Machine learning. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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