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Senior Solutions Architect – AI Platforms/LLMs/Cloud & Enterprise AI

European Tech Recruit
Doha, QAT
Full Time
Senior
3 weeks ago
Solutions ArchitectureLarge Language Models (LLMs)Generative AICloud ArchitectureMachine LearningPre Sales
Free

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Solutions ArchitectureLarge Language Models (LLMs)Generative AI
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Position Overview

  • We are partnered with one of Europe's fastest growing AI and quantum technology companies to recruit a Senior Solutions Architect to support their expansion in Qatar.
  • This is an opportunity to join a globally recognised deep tech organisation developing next generation AI solutions that help enterprises deploy large language models more efficiently.

Key Responsibilities

  • Act as a trusted technical advisor to customers, partners, and internal stakeholders throughout the pre sales process.
  • Design and architect scalable AI and machine learning solutions aligned with customer requirements and business objectives.
  • Lead technical discovery workshops, solution design sessions, and customer demonstrations.
  • Develop technical proposals, solution architectures, statements of work, and responses to RFPs and tenders.
  • Design deployment architectures across public cloud, sovereign cloud, hybrid, and on premise environments.

Key Requirements

  • Previous experience in a customer facing technical role such as Solutions Architect, Sales Engineer, Technical Consultant, Implementation Consultant, or Pre Sales Architect.
  • Strong experience designing enterprise AI, machine learning, cloud, or data platform solutions.
  • Excellent communication and presentation skills with ability to engage both technical and non technical stakeholders.
  • Experience preparing technical proposals, responding to tenders, and delivering product demonstrations independently.
  • Large Language Models (LLMs) and Generative AI solutions.
  • Retrieval Augmented Generation (RAG) architectures.
  • Multi agent AI systems and agentic workflows.
  • Computer Vision, Speech AI, Vision Language Models, and multimodal AI applications.
  • AI model optimisation, compression, quantisation, and edge deployment.

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