Senior Solution Architect

Overview

The Opportunity

The Role

• **Client & Partner Engagement:**
• Act as the technical authority in partner- and customer-facing interactions.
• Run hands-on product demos independently and lead the authoring of technical proposals, RFPs, and tenders.
• **Solution Architecture:**
• Design end-to-end AI/ML solutions spanning cloud, hybrid, on-premise, and sovereign deployment models.
• **Technical Consulting:**
• Translate complex AI, LLM, and quantum-inspired capabilities into clear, value-driven architectures for both technical and non-technical stakeholders.
• **Collaboration:**
• Partner closely with sales and engineering teams to ensure proposed architectures align perfectly with customer requirements and delivery capabilities.

Required Experience & Skills

• **Pre-Sales / Consulting:**
• Proven experience in a technical pre-sales, sales engineering, or implementation consulting role with heavy enterprise customer exposure.
• **Cloud & Infrastructure:**
• Strong knowledge of major cloud platforms (AWS, Azure, GCP) and AI/ML services (e.g., SageMaker, Vertex AI, AzureML).
• Experience sizing GPU infrastructure for LLM inference or training workloads (memory, throughput, hardware tiers from A10 to H200).
• **MLOps & Containerisation:**
• Familiarity with MLOps frameworks (e.g., Kubeflow, Flyte, MLflow, CI/CD) and proficiency with Docker and Kubernetes for containerising AI workloads.
• **LLM Stacks & Benchmarking:**
• Understanding of LLM inference stacks (vLLM, llama.cpp, OpenVINO), model delivery formats (ONNX, Hugging Face), and experience benchmarking LLM performance (latency, throughput, accuracy).
• **Technical Core:**
• Hands-on Python and SQL coding skills, alongside familiarity with ML libraries (PyTorch, TensorFlow, Hugging Face).
• **Education & Travel:**
• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• Ability to travel as required for client meetings and industry events.
• **Languages:**
• Professional fluency in both Arabic and English.
• **Right to Work:**
• Existing legal authorization to work in Qatar is required.

Preferred Attributes

• Experience with multi-modal AI (Computer Vision, Speech, Vision-Language models).
• Hands-on experience designing RAG pipelines, multi-agent systems, or working with AI model optimization and quantization.
• Experience designing big data architectures (batch & streaming).
• Knowledge of data privacy, ethical AI considerations, and compliance frameworks.
• Interested?
• Apply directly through LinkedIn, or send your CV to [email protected]
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