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AI Architect – GenAI, LLMs & AI Agents

Unlock employer Dubai, United Arab Emirates Posted: 23 Feb 2026

Financial

  • Estimate: $120k - $180k*
  • Zero income tax location

Accessibility

  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Senior
  • English: Professional

Position

We are looking for a seasoned AI Architect to lead the end-to-end design and enterprise-scale deployment of cutting-edge AI solutions, with a deep focus on Generative AI (GenAI), Large Language Models (LLMs), and AI Agent frameworks. As a strategic technical leader, you will drive AI architecture decisions across cloud-native environments, build intelligent automation pipelines, and collaborate with both technical and executive teams to align AI initiatives with business strategy. You will be expected to bring a strong mix of hands-on delivery expertise and architectural leadership.

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Responsibilities

  • Architect, build, and deploy production-grade AI/ML models with a strong focus on GenAI, LLMs, and intelligent agents.
  • Serve as a lead architect across multiple cross-functional teams delivering AI-enabled applications.
  • Design scalable, cloud-native AI solutions using the company Cloud Infrastructure (OCI) and other multi-cloud platforms.
  • Mentor teams on solution design, best practices, and delivery excellence for AI projects.
  • Guide enterprise-wide AI architecture strategy, ensuring alignment with data strategy, DevOps, and security best practices.
  • Engage with C-suite stakeholders to define AI priorities, value propositions, and roadmaps.
  • Lead solution estimation, technical governance, and program oversight.
  • Stay current with the latest advancements in GenAI, LLM optimization, AI agent architectures, and model integration strategies.

Requirements

  • 8+ years of total experience, with 4+ years in AI/ML Engineering roles.
  • Demonstrated experience leading end-to-end AI/ML solution design and production deployment.
  • Proven track record in Generative AI, LLMs, NLP, and AI agent development.
  • Expert in Python and familiar with modern ML/NLP frameworks: HuggingFace, LangChain, PyTorch, TensorFlow, etc.
  • Experience fine-tuning LLMs for domain-specific applications (e.g., Q&A systems, auto-documentation, predictive insights).
  • Strong knowledge of machine learning algorithms, prompt engineering, vector databases, and RAG pipelines.
  • Familiar with MLOps, model governance, and CI/CD for ML workflows.

Work Conditions

  • Individual Contributor
  • Job Type: Regular Employee
  • Years: 6 to 10+ years
  • Bilingual: Applicants are required to read, write, and speak English.

Location
DUBAI, United Arab Emirates.

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