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AI Expert

Job in Riyadh, Riyadh Region, Saudi Arabia
Listing for: Cognizant
Full Time position
Listed on 2026-05-23
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Data Scientist
Salary/Wage Range or Industry Benchmark: 150000 - 200000 SAR Yearly SAR 150000.00 200000.00 YEAR
Job Description & How to Apply Below

AI Expert:
Generative AI, Azure & 3D Modeling Job Summary

We are seeking a versatile and highly skilled AI Expert to join our innovative team. This role requires a unique blend of expertise in Large Language Models (LLMs) on the Azure platform and the application of AI in 3D modeling. The ideal candidate will be a creative technologist passionate about pushing the boundaries of generative AI, from developing intelligent Copilot agents to creating immersive 3D worlds.

You will be responsible for designing, developing, and deploying cutting‑edge AI solutions that span conversational AI and advanced 3D content generation.

Key Responsibilities
  • Holistic AI Solution Design:
    Architect and implement end‑to‑end AI solutions that leverage the full spectrum of generative AI, including both language and visual modalities.
  • Conversational & Agentic AI:
    Design and develop sophisticated conversational AI agents using Microsoft Copilot Studio and the Azure AI ecosystem (including Azure OpenAI Service).
  • Build and implement LLM-based applications, leveraging frameworks like Lang Chain for complex Retrieval‑Augmented Generation (RAG) and agentic workflows.
  • Integrate AI agents with enterprise data sources (e.g., SharePoint, SQL Server) and automate business processes using Power Automate.
  • AI for 3D Modeling:
    Utilize and develop AI‑powered tools to assist, automate, and enhance the creation of high‑quality 3D models.
  • Design, implement, and train large‑scale generative models (e.g., diffusion models) for generating 3D assets and environments from text or 2D images.
  • Create and manage scalable data pipelines for large, unstructured, multi‑modal data sources (text, images, 3D models) to fuel machine learning initiatives.
  • MLOps &

    Collaboration:

    Take ownership of the full lifecycle of ML models, including deployment, containerization, CI/CD, and performance monitoring.
  • Collaborate closely with business stakeholders, designers, and research teams to translate product requirements into a cohesive technical roadmap.
Qualifications
  • Experience:

    5+ years of hands‑on experience in AI/ML engineering or data science, with a proven track record of building and deploying complex AI solutions.
  • Core Technical

    Skills:

    Proficiency in Python and common ML/DL libraries (e.g., scikit‑learn, Tensor Flow, PyTorch).
  • Strong experience with the Azure AI/Data ecosystem, particularly Azure Machine Learning and Azure OpenAI Service.
  • Generative AI Expertise:
    Hands‑on experience with Microsoft Copilot Studio and building conversational agents.
  • Experience with generative models (GANs, Diffusion Models, LLMs) is a significant plus.
  • 3D Modeling

    Skills:

    A strong portfolio showcasing 3D modeling work is highly desirable.
  • Familiarity with 3D modeling software (e.g., Blender, Maya, ZBrush) and computational geometry is a plus.
  • Education:

    Bachelor's or Master's degree in Computer Science, Engineering, Graphic Design, or a related technical discipline.
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