Senior Solutions Architect

think; Riyadh; On-site; SAR 360,000 - 520,000; Full time

Benefits offered by this job

Competitive early-stage compensation

Close collaboration with senior team

Foundational tech in-house

Job summary

Think AI seeks a Senior Solutions Architect in Riyadh to lead technical pre-sales and customer success across the regional footprint. You map Think Nodes and ILM to customer environments and are the technical authority on deals.

You will own RFP responses, guide workshops, and manage a small technical team while coordinating with product and sales. This role is deeply customer-facing and drives deployments from kickoff to go-live.

Qualifications

• Eight years+ in a solutions architect or equivalent customer-facing technical role in AI, accelerated compute, server or data centre infra.
• Experience designing compute solutions for named accounts at leading hardware, hyperscale, or AI companies.
• Broad technical breadth across accelerated compute, networking, storage, Linux, and training/inference on bare metal.
• Experience leading a small technical team or acting as tech lead within a larger org.
• Fluent English; Arabic is a strong advantage.

Responsibilities

• Own the technical solution design on every major deal, translating requirements into configurations that win.
• Lead workshops, technical deep dives and POC scoping with customer architects and engineering teams.
• Manage the Solutions Engineer and Customer Support Technician; hire and develop the team as it grows.
• Own technical RFP responses: accurate, complete, and with a point of view.
• Bridge between sales and engineering; carry customer pain back to product and bring engineering confidence to the customer.
• Run technical onboarding and see deployments through from kickoff to go-live.

Skills

Solutions architecture

Pre-sales

Team leadership

RFP responses

Customer-facing

AI infrastructure

Tools

CUDA

PyTorch

ROCm

Job description

Senior Solutions Architect

Lead technical pre-sales and customer success across the commercial footprint, anchored in Riyadh and growing into the region. You are the technical authority who maps think AI Nodes and ILM to a customer environment, workload and constraints, and you are customer facing every day.

Type Full time

Team Field engineering

Location Riyadh

What you will do

• Own the technical solution design on every major deal. Translate customer requirements into hardware and software configurations that win.
• Lead workshops, technical deep dives and proof-of-concept scoping with customer architects and engineering teams.
• Manage the Solutions Engineer and the Customer Support Technician. Hire, develop and hold the bar as the team grows.
• Own technical RFP responses: accurate, complete, and with a point of view.
• Be the bridge between sales and engineering. Carry customer pain back to the product team and bring engineering confidence to the customer.
• Run technical onboarding and see deployments through from kickoff to go-live.

What you need

• Eight years or more as a solutions architect, sales engineer or equivalent customer‑facing technical role in AI, accelerated compute, server or data centre infrastructure.
• Experience at a leading hardware, hyperscale or AI company designing compute solutions for named accounts.
• Technical breadth across accelerated compute, networking, storage, Linux, and training, fine‑tuning and inference on bare metal.
• Experience managing a small technical team, or acting as tech lead inside a larger organisation.
• Fluent English. Arabic is a strong advantage.

Useful, not required

• Hands‑on with CUDA, ROCm, PyTorch, vLLM or comparable infrastructure tooling.
• Familiarity with liquid cooling, high‑density rack design, or regulated‑environment architectures.
• Experience positioning combined hardware and software solutions.
• A postgraduate degree in a technical field.
• Time inside a startup scaling from early to growth stage.

What we offer

• One of the first deep tech companies in the region, building foundational technology in house.
• Meaningful ownership and impact at an early stage.
• Competitive early‑stage compensation.
• Close collaboration with a small, senior team.
• Problems that combine hardware, systems and AI at scale.