Solutions Architect - Cloud & AI (Arabic Speaking)

About the Role

We are hiring a Solution Architect to support the Middle East business of a leading global cloud technology company. Based in Istanbul, this role will work closely with the sales team throughout the full customer lifecycle, including pre-sales, solution design, implementation support and post-sales engagement.

Key Responsibilities

• Work closely with sales teams and join customer meetings to provide technical consultation.
• Understand customer business and technical requirements and identify opportunities around Cloud and AI solutions.
• Design end-to-end cloud and AI solutions covering compute, storage, database, networking, security, Kubernetes and big data.
• Support AI solution architecture, including LLM applications, RAG, Agents, model/tool selection, POC and Demo development.
• Coordinate with internal product, engineering and service teams to support strategic customers and resolve technical issues.
• Help develop and expand business opportunities from a technical perspective.

Requirements

• Bachelor’s degree from an internationally recognised institution.
• 2+ years of experience in public cloud, IT infrastructure, AI, solution architecture, pre-sales or related fields.
• Strong knowledge of public cloud products such as compute, storage, database, networking and cloud security.
• Familiarity with AI and LLM ecosystems, including technologies such as OpenAI, Claude, Gemini, DeepSeek or similar.
• Experience with at least one major cloud provider such as Alibaba Cloud, AWS, Google Cloud, Azure, Huawei Cloud or Tencent Cloud.
• Cloud-related technical certification is preferred.
• Strong customer-facing communication and presentation skills.
• Fluent Arabic and English are required.
• Turkish language capability is a plus.
• Experience working with cloud partners, resellers, distributors or major cloud vendors is highly preferred.

Preferred Experience

• Pre-sales Solution Architect / Sales Engineer / Technical Consultant experience.
• Experience supporting customers in industries such as internet, gaming, e-commerce, Web3, media, retail or financial services.
• Experience with RAG, AI Agents, Prompt Engineering, LangChain, Dify, n8n, MCP or similar AI development frameworks is a plus.
• Ability to build AI demos or POCs is a plus.