Job Description
This is a Senior Solutions Architect role inside Amazon Web Services (AWS), focused on enterprise customers in the UAE. AWS solutions architects sit at the intersection of technical depth and customer relationship, helping large organisations design, build and migrate workloads onto cloud infrastructure – everything from a proof of concept on generative AI services to the architecture behind a core banking or retail system moving to the cloud.
No two days look quite the same: one might run a hands-on proof-of-concept session helping a customer prototype on a service like Amazon Bedrock, the next might involve designing a landing zone – the foundational account and network structure an enterprise needs before it can safely run production workloads on AWS – or leading a technical deep-dive with a customer’s architecture team. The thread connecting it all is translating a customer’s business problem into a sound, scalable technical design, and then staying close enough through delivery to make sure it actually works in practice.
The role suits someone with strong cloud architecture experience – AWS specifically, or deep transferable skills from another major cloud provider – who is equally comfortable in a whiteboard session with engineers and a conversation with a customer’s senior stakeholders about risk, cost and roadmap. Enterprise customers bring politics, legacy systems and compliance requirements alongside technical ambition, so patience and communication matter as much as technical depth.
Working as a Solutions Architect inside AWS’s commercial sector team means being close to some of the most consequential technology decisions UAE enterprises are making right now, as cloud adoption and generative AI move from pilot projects to core infrastructure.
Impact of the Job
Enterprise cloud decisions are expensive and hard to reverse, which is exactly why the quality of architecture advice at the design stage matters so much. A Solutions Architect who gets a landing zone, a migration plan or a generative AI proof of concept right saves a customer months of rework and strengthens their confidence in AWS as a long-term platform; one who gets it wrong can set a relationship - and a deal - back significantly. In a market like the UAE, where enterprise cloud adoption is accelerating and generative AI is moving rapidly from experiment to production use case, this role is often the deciding factor in whether a large account expands its AWS footprint or stalls out. Because solutions architects work directly with account teams, this role also has a real commercial dimension: technical credibility built in a proof-of-concept session frequently becomes the basis for a much larger multi-year commitment. At enterprise scale, the stakes of a well- or poorly-designed architecture extend well beyond one project - they influence security posture, cost efficiency and resilience for systems that may run for years.
Job Seeker Benefit
Few roles offer exposure to as wide a range of enterprise technology problems as a cloud Solutions Architect position inside AWS. Spending time across proof-of-concept work on cutting-edge generative AI services one week and core landing zone design for a regulated enterprise the next builds both technical range and the judgement to know which tool fits which problem - a combination that is increasingly in demand across the industry. The customer-facing nature of the role also sharpens skills that pure engineering roles rarely develop to the same degree: explaining complex technical trade-offs to non-technical executives, managing stakeholder expectations, and building the kind of trust that turns a single project into an ongoing advisory relationship. An AWS Solutions Architect credential on a CV, especially one earned working with enterprise accounts in a fast-growing cloud market like the UAE, opens doors across the industry - cloud consultancies, systems integrators, enterprise IT leadership and other major cloud providers all value this specific blend of technical depth and customer fluency highly. It is also one of the more future-proof technical career paths available right now, since the shift toward cloud infrastructure and applied AI shows no sign of slowing, and the people who can bridge business need and technical architecture will remain in short supply for years to come. Long term, this kind of role is a well-worn path into principal architect, technical account management or enterprise IT leadership positions.
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Requirements
- Substantial experience in cloud solutions architecture, ideally on AWS, with exposure to enterprise-scale environments
- Strong grasp of core cloud architecture concepts: networking, security, landing zones, migration strategy
- Familiarity with modern AI/ML services and how enterprises are starting to apply them in production
- Excellent communication skills, comfortable presenting to both engineering teams and senior business stakeholders
- Relevant cloud certifications (AWS or equivalent) are a strong plus
- Consulting, pre-sales or customer-facing technical experience
Interview Questions to Prepare For
Walk me through how you'd design a landing zone for a large enterprise new to AWS.
Depth on networking, security, account structure; practical sequencing
Tell me about a time you had to simplify a complex technical concept for a non-technical stakeholder.
Communication skill, ability to read the audience
How have you used generative AI services in a real customer scenario?
Hands-on experience vs theoretical knowledge, specificity
Describe a migration project that didn't go smoothly. What would you do differently?
Self-reflection, technical troubleshooting, ownership
How do you handle a customer pushing back on your recommended architecture?
Diplomacy, technical confidence, willingness to compromise where sensible
What's your approach to staying current as AWS services evolve so quickly?
Genuine learning habits, specific examples
How do you balance a customer's cost concerns against best-practice architecture?
Commercial awareness alongside technical rigor