الرئيسية » Senior AI Engineer

Senior AI Engineer at AIQU

المنصب Senior AI Engineer
نُشر في 21 Feb 2026
انتهت الصلاحية 23 Mar 2026
الشركة AIQU
الموقع Riyadh | SA
نوع الوظيفة Full Time

الوصف الوظيفي:

أحدث معلومات الوظائف من AIQU لمنصب Senior AI Engineer. If the Senior AI Engineer الشاغرة في Riyadh تتوافق مع مؤهلاتك، يرجى تقديم أحدث طلب أو سيرة ذاتية مباشرة من خلال بوابة وظائف Jobkos المحدثة.

يرجى ملاحظة أن التقديم على وظيفة قد لا يكون سهلاً دائماً، حيث يجب على المرشحين الجدد استيفاء مؤهلات ومتطلبات معينة تحددها الشركة. نأمل أن تكون الفرصة المهنية في AIQU لمنصب Senior AI Engineer أدناه تتوافق مع مؤهلاتك.

As an AI Engineer on our Professional Services team, you will be at the forefront of the AI revolution, working directly with our most strategic customers. You'll be a trusted advisor and hands‑on builder, translating complex business challenges into cutting‑edge AI solutions that deliver tangible business value. This is a unique opportunity to design, build, and deploy a wide range of applications⸺from powerful predictive models to sophisticated Generative AI agents and chatbots. If you thrive on solving real‑world problems and want to work with the latest in AI technology, this role is for you.

Responsibilities
  • Partner with Customers: Collaborate closely with customer stakeholders to understand their business goals, identify high‑impact use cases, and define technical requirements for AI solutions.
  • Build & Deploy AI Solutions: Design, develop, and deploy end‑to‑end AI solutions using the platform and open‑source tools. This includes:
  • Agentic AI: Developing and deploying agents on leveraging common frameworks such as Langgraph, CrewAI, Llama Index
  • Generative AI: Building custom GenAI chatbots, Retrieval‑Augmented Generation (RAG) systems.
  • Predictive AI: Developing and deploying classic machine learning models for use cases like forecasting, churn prediction, and fraud detection.
  • Serve as a Technical Expert: Act as a subject matter expert on the platform and modern AI/ML development, guiding customers on best practices for MLOps, model governance, and scaling AI initiatives.
  • Deliver Value: Ensure that the solutions you build are robust, scalable, and directly contribute to the customer's business objectives.
  • Communicate & Collaborate: Clearly communicate complex technical concepts and project outcomes to both technical and non‑technical audiences, from data scientists to C‑level executives.
Qualifications
  • 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).
  • Experience: Familiarity with the DataRobot AI Platform is a strong plus.
  • MLOps Knowledge: Understanding of MLOps principles and tools for model CI/CD, monitoring, and governance.
Required Skills
  • Strong proficiency in Python and common data science libraries (e.g., pandas, scikit‑learn, NumPy, 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 frameworks like LangGraph or CrewAI, to at scale deployment and monitoring.
  • Application Development & Operations:
  • 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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معلومات الوظيفة:

  • الشركة: AIQU
  • المنصب: Senior AI Engineer
  • مكان العمل: Riyadh
  • الدولة: SA

كيفية تقديم الطلب:

بعد قراءة وفهم المعايير ومتطلبات الحد الأدنى من المؤهلات الموضحة في معلومات الوظيفة Senior AI Engineer at the office Riyadh أعلاه، أكمل فوراً ملفات طلب الوظيفة مثل خطاب التقديم، السيرة الذاتية، نسخة من الشهادة الجامعية، كشف الدرجات، والملاحق الأخرى كما هو موضح أعلاه. أرسلها عبر رابط الصفحة التالية أدناه.

انتهت صلاحية هذا الإعلان الوظيفي (منذ أكثر من 30 يوماً).
يرجى البحث عن أحدث فرص العمل على موقعنا الصفحة الرئيسية.

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