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Artificial Intelligence Engineer

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: AIQU
Full Time position
Listed on 2026-08-08
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 350000 - 550000 SAR Yearly SAR 350000.00 550000.00 YEAR
Job Description & How to Apply Below

We are hiring for one of our clients for the below requirement in Riyadh

Role:
Senior AI Engineer - Professional Services

Employment Type:

Permanent, with one of our clients

Work Location:

Riyadh, KSA

Notice Period:
Immediate joiners to a maximum of 15-30 days of notice

Required Experience:

  • Experience:

    Approximately 6-8 years of hands-on experience in AI Application development, software engineering, machine learning engineering, or a similar role with a proven track record of deploying AI solutions or applications into production.
  • Education:

    A Master's Degree or Ph.D. in Computer Science, Statistics, Artificial Intelligence, Engineering, or a related quantitative field.
  • Cloud

    Experience:

    Hands-on experience with a major cloud platform (AWS, Azure, or GCP).
  • Data Robot

    Experience:

    Familiarity with the Data Robot AI Platform is a strong plus.
  • MLOps Knowledge:
    Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance.
  • Strong proficiency in Python and common data science libraries (e.g., pandas, scikit-learn, Num Py, etc.).
  • Practical experience with Generative AI technologies, including Large Language Models (LLMs), vector databases,
  • Solid understanding of the end-to-end agentic AI lifecycle from building agents in framework(s) like Lang Graph or CrewAI, to at scale deployment and monitoring.
  • Demonstrable experience developing and deploying applications, including building REST APIs (e.g., using Flask, FastAPI) to serve ML models and GenAI logic.
  • Proficiency with containerization using Docker and experience deploying and managing applications on container orchestration platforms like Kubernetes (K8s).
  • Solid understanding of secure application development practices, including authentication/authorization (e.g., OAuth, API keys), secrets management, and securing public-facing endpoints.
  • Customer Focus:
    Experience in a client-facing or consulting role with exceptional verbal and written communication skills. You must be comfortable leading technical discussions and presenting to diverse audiences.
  • Problem-Solving Mindset: A deep curiosity and a passion for solving complex, unstructured problems
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