Solution Architect – Cloud, AI & LLM (Mid/Senior) – Qatar

About the role

We are looking for a Mid to Senior Solution Architect to join the pre‑sales team of a global AI and Deep Tech company expanding into the Middle East. You will translate customer requirements into scalable, cloud‑native AI solutions that leverage large language models and advanced machine‑learning services.

Key responsibilities

• Engage with customers and partners to understand business challenges and propose AI‑driven solutions.
• Design and demo end‑to‑end architectures on AWS, Azure or GCP, including on‑premise and hybrid deployments.
• Size GPU infrastructure for LLM inference or training and benchmark performance.
• Develop technical proposals, respond to RFPs, and produce hands‑on product demonstrations.
• Collaborate with engineering teams to implement MLOps pipelines, CI/CD, and monitoring.

Required profile

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering or related field.
• Proven experience in a technical pre‑sales or consulting role (Solutions Architect, Sales Engineer, Implementation Consultant).
• Excellent communication skills in Arabic and English, with the ability to present to both technical and non‑technical audiences.
• Willingness to travel for meetings, conferences and project work.

Required skills

• Cloud platforms: AWS, Azure, GCP.
• AI/ML services: SageMaker, Vertex AI, AzureML.
• MLOps tools: Kubeflow, Flyte, MLflow, CI/CD pipelines.
• Containerization: Docker, Kubernetes.
• LLM inference stacks: vLLM, llama.cpp, OpenVINO.
• Model formats: ONNX.safetensors, HuggingFace hub.
• GPU sizing for A10, H200 tiers.
• Programming: Python, SQL.
• Frameworks: PyTorch, TensorFlow, Hugging Face.