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Principal Solutions Architect Middle East

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Remote from
UAE
Salary
Undisclosed
Employment
Full Time
Experience
Director
Published
Apply before
21 Nov 2026
Listing views
29
Application actions
2
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AI Summary

The role, at a glance.

Nebius seeks a principal-level solutions architect to own technical presales and production adoption for strategic AI-cloud customers across the Middle East. The role combines enterprise discovery, GPU-based AI/ML infrastructure architecture, MLOps solution design, proof-of-concept delivery, and executive stakeholder engagement. The successful candidate will act as the technical authority across Sales, Product, Engineering, Support, and Marketing while mentoring other architects. It requires extensive GCC enterprise experience, fluent Arabic and professional English, and the ability to travel within the region.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior, customer-facing technical leadership role spanning complex distributed AI infrastructure, large enterprise presales, and production delivery. It also demands regional market expertise and the ability to influence executive customers and internal product direction.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$180,000
US market range (per year)$140k–$240k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer salary was disclosed. Estimated annual USD market compensation for a principal AI/cloud solutions architect is approximately $140,000–$240,000, with a midpoint of $180,000; this is an AI estimate rather than employer-provided pay.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you approach a discovery engagement for a strategic enterprise that wants to move large-scale model training to an AI cloud platform?

I would start by aligning on business outcomes, model types, datasets, expected training cadence, security constraints, and success metrics. I would then assess the current data, compute, networking, and MLOps environment, identify architectural risks, and jointly define a phased target architecture and measurable PoC plan.

Describe how you would design a GPU-accelerated platform for distributed training and production inference.

I would separate training and inference requirements, size GPU and storage capacity according to workload profiles, and design secure network and data paths. The platform would use container orchestration, reproducible infrastructure as code, observability, workload scheduling, model lifecycle controls, and performance testing to validate scalability, latency, reliability, and cost efficiency.

How do you explain a complex AI infrastructure architecture to a CTO or business executive?

I begin with the business objective and the operational impact, such as faster model delivery, reduced infrastructure complexity, or stronger governance. I use a concise visual architecture, connect technical choices to risk, cost, performance, and time-to-value, and reserve implementation detail for the engineering stakeholders.

What is your method for running an effective technical proof of concept?

I agree on a written scope, stakeholders, baseline, success criteria, timeline, and decision process before implementation begins. During delivery, I run frequent checkpoints, document assumptions and results, resolve blockers with the right internal teams, and finish with a production-readiness plan rather than treating the PoC as an isolated demo.

How would you influence product direction based on feedback from GCC enterprise customers?

I would turn customer feedback into evidence-based requirements by identifying the affected personas, use cases, business impact, technical constraints, and repeatability across accounts. I would then prioritize these insights with Sales and Product, communicate trade-offs clearly, and keep customers informed about validated roadmap outcomes without making unapproved commitments.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

About Nebius:

Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.

Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.

Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.

The role

We are seeking an experienced, customer-obsessed Principal Solutions Architect – Middle East to lead technical engagement with Nebius’ most strategic customers across the Gulf region. This is a senior, high-impact role focused on complex presales, large-scale ML workloads, and end-to-end customer solution ownership—from early discovery through production adoption.

As a Principal Solutions Architect, you will act as a trusted technical partner for executive stakeholders, AI/ML leaders, and platform teams. You will shape solution strategy, drive complex PoCs, influence product direction, and ensure successful adoption of Nebius AI Cloud for mission-critical AI/ML workloads across the Middle East.

The ideal candidate has extensive experience working with enterprise organizations in the Gulf region, understands the local technology landscape, and can effectively engage both business and technical stakeholders ideally in Arabic and English.

You’re welcome to work remotely from the Middle East, with preference for candidates based in the United Arab Emirates.

Your responsibilities will include:

  • Own end-to-end technical presales and solution delivery for strategic and enterprise customers across the Middle East, from initial discovery through PoC, architecture design, and production readiness.
  • Serve as a trusted technical advisor to senior customer stakeholders (CTO, Head of ML, Platform Engineering, AI Infrastructure teams).
  • Lead complex ML/AI infrastructure and MLOps architectures, including large-scale training and inference workloads on GPU-accelerated cloud platforms.
  • Design, validate, and document reference architectures, Infrastructure-as-Code solutions, and best-practice deployment patterns using Nebius AI.
  • Drive and execute advanced PoCs, workshops, architecture reviews, and executive-level presentations to demonstrate value and accelerate customer adoption.
  • Build trusted relationships with customers across government, enterprise, AI-native, and digital-native organizations throughout the Gulf region.
  • Partner closely with Sales, Product, Engineering, and Support to represent real-world customer requirements and influence product roadmap decisions.
  • Act as a single point of technical authority for key customer scenarios across internal teams (Product, Support, Marketing).
  • Support strategic marketing initiatives including conferences, hackathons, webinars, customer case studies, and technical thought leadership across the Middle East.
  • Mentor and provide technical leadership to other Solutions Architects, helping raise the overall technical bar of the organization.

We expect you to have:

  • 10+ years of experience in senior technical roles such as Solutions Architect, Systems Architect, ML Platform Engineer, or similar, with significant customer-facing responsibilities.
  • Deep expertise in cloud infrastructure, distributed systems, networking, storage, Kubernetes, containers, and GPU-accelerated computing.
  • Strong understanding of AI/ML infrastructure, MLOps platforms, model training, inference, and large-scale GPU environments.
  • Experience designing and delivering complex enterprise architectures and technical solutions for strategic customers.
  • Excellent communication and executive presentation skills, with the ability to translate complex technical concepts into business value.
  • Demonstrated experience leading technical discovery sessions, architecture workshops, and proof-of-concepts.
  • Experience collaborating with Sales, Product, Engineering, and Customer Success organizations.
  • Strong experience working with enterprise customers across the Gulf Cooperation Council (GCC), including the UAE, Saudi Arabia, Qatar, Kuwait, Bahrain, and Oman.
  • Strong understanding of the regional technology ecosystem, procurement processes, and customer landscape in the Gulf countries.
  • Native or fluent Arabic and professional English are required.
  • Ability to travel across the Middle East as required.

It will be an added bonus if you have:

  • Experience working with hyperscale cloud providers or AI infrastructure companies.
  • Experience supporting sovereign cloud, government, or regulated industry customers.
  • Knowledge of modern AI frameworks, distributed training technologies, and open-source AI tooling.
  • Public speaking experience at industry conferences or technical community events.
  • Existing relationships within the regional AI, cloud, or enterprise technology ecosystem.

Benefits & Perks:

  • Competitive compensation
  • Career growth and learning opportunities
  • Flexibility and ownership
  • Collaborative and innovative culture
  • Opportunity to work on impactful AI projects
  • International environment and talented teams

What’s it like to work at Nebius:

Fast moving – Bold thinking – Constant growth – Meaningful impact – Trust and real ownership – Opportunity to shape the future of AI

Equal Opportunity Statement:

Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.

Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.

If you need accommodations during the application process, please let us know.

Apply now >

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