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Solution Architect – (Cloud/AI/LLM) - Qatar

Tech Recruit
Doha, QAT
Full Time
Senior
3 weeks ago
Cloud Platforms (AWS, Azure, GCP)AI/ML ServicesMLOpsDockerKubernetesLLM Inference Stacks
Free

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Key skills for this role

Cloud Platforms (AWS, Azure, GCP)AI/ML ServicesMLOps
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Role Overview

  • A fantastic opportunity for a skilled Solution Architect to join a global AI/Deep Tech company as part of their expansion into the Middle East.
  • In this role you will join our pre sales team and bridge the gap between our technology and our customers’ needs, crafting innovative, scalable, and robust AI powered solutions.

Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field.
  • Previous experience in a technical partner pre sales or consulting role with heavy emphasis on partner and customer facing interactions.
  • Excellent communication and presentation skills; 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.
  • Familiarity with MLOps tools and practices: CI/CD, monitoring, and orchestration frameworks; proficiency with Docker and Kubernetes.
  • Understanding of LLM inference stacks and model delivery formats.
  • Experience sizing GPU infrastructure for LLM inference or training workloads.
  • Experience benchmarking and evaluating LLM performance.
  • Hands on coding skills in Python, SQL, and familiarity with ML libraries and frameworks.
  • Must be available to travel as needed.
  • Languages: Arabic and English.

Nice to Have

  • 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.

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