Solutions Architect – (QATAR)

Mid/Senior Solution Architect – Qatar

We are looking for a talented Solutions Architect to join our pre-sales team and bridge the gap between our technology and our customers’ needs, crafting innovative, scalable, and robust AI- powered solutions.

Key requirements:
•Previous experience in a technical partner pre-sales or consulting role with a heavy emphasis on partner and customer-facing interactions (i.e. Solutions Architect, Sales Engineer, Implementation Consultant)
•Excellent communication and presentation skills, able to interface effectively with technical and non-technical stakeholders; experience writing technical proposals or responding to RFPs/tenders; experience running hands-on product demos independently.
•Strong knowledge of cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML), including sovereign, on-premise, and hybrid deployment models.
•Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks (e.g., Kubeflow, Flyte, MLflow); proficiency with Docker and Kubernetes for AI workload containerization.
•Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO) and model delivery formats (ONNX, .safetensors, HuggingFace model hub).
•Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200).
•Experience benchmarking and evaluating LLM performance (accuracy, latency, throughput).
•Hands-on coding skills in Python, SQL, and familiarity with ML libraries and frameworks (PyTorch, TensorFlow, Hugging Face).
•Bachelor’s or master’s degree in Computer Science, Data Science, Engineering, or related field.
•Must be available to travel as needed for meetings, conferences, and project requirements.
•Languages: Arabic and English
•Applicants must have legal authorization to work in Qatar

Preferred Qualifications:
•Experience with Computer Vision models, Speech models, Vision-Language models, and other modalities.
•Experience with AI model optimization, quantization, or deployment to edge devices.
•Hands-on experience designing RAG pipelines and/or multi-agent systems..
•Experience designing data architectures (batch & streaming) and working with big data technologies.
•Knowledge of data privacy and ethical considerations in AI, including GDPR compliance and familiarity with the respective country AI Act.