Solution Architect – Cloud/AI/LLM - Qatar

Role overview

This opportunity is for an experienced Mid/Senior Solution Architect to join a global AI and deep-tech organization during its growth in the Middle East. The position sits within the pre-sales function and focuses on connecting customer challenges with the company’s technology offerings to design intelligent, scalable, and resilient AI-driven solutions.

Key responsibilities

The role centers on pre-sales solution design and customer engagement. You will work closely with both technical and non-technical stakeholders, shape proposals, lead product demonstrations, and help define practical solution architectures that align with business needs.

Requirements

• A bachelor’s or master’s qualification in Computer Science, Data Science, Engineering, or a closely related discipline.
• Prior exposure to technical pre-sales, consulting, or partner-facing roles such as Solution Architect, Sales Engineer, or Implementation Consultant.
• Strong verbal and written communication skills, along with the ability to present effectively to varied audiences.
• Experience preparing technical proposals and responding to RFPs or tenders, plus confidence in independently delivering hands-on product demos.
• Solid understanding of major cloud platforms including AWS, Azure, and GCP, as well as AI/ML services such as SageMaker, Vertex AI, and AzureML.
• Knowledge of sovereign, on-premise, and hybrid deployment approaches.
• Familiarity with MLOps workflows and tools, including CI/CD, monitoring, orchestration frameworks like Kubeflow, Flyte, and MLflow, and containerization with Docker and Kubernetes.
• Understanding of LLM inference technologies such as vLLM, llama.cpp, and OpenVINO, plus model formats like ONNX, .safetensors, and Hugging Face model hub assets.
• Experience estimating GPU requirements for LLM training or inference, including memory, throughput, and hardware tiers from A10 through H200.
• Ability to benchmark and assess LLM performance across metrics such as accuracy, latency, and throughput.
• Practical coding knowledge in Python and SQL, along with familiarity with ML frameworks and libraries such as PyTorch, TensorFlow, and Hugging Face.
• Availability to travel when needed for meetings, conferences, and project-related work.
• Fluency in both Arabic and English.
• Applicants must be legally authorized to work in Qatar.

Preferred experience

• Exposure to computer vision, speech, vision-language, or other multimodal AI systems.
• Experience with model optimization, quantization, or edge deployment.
• Hands-on work with RAG pipelines and/or multi-agent architectures.
• Background in data architecture, including batch and streaming systems, and familiarity with big data technologies.
• Awareness of data privacy, ethical AI practices, GDPR, and relevant country-specific AI regulations.

Additional information

This role is based in Doha, Qatar, and is offered on a full-time, onsite basis.

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