54 AI Developer jobs in Saudi Arabia

Key Responsibilities:

• Design and implement AI and ML solutions using Azure AI services, including Azure OpenAI, Azure AI Foundry, and Azure Machine Learning.
• Fine-tune and deploy LLMs (e.g., GPT-4o, GPT-3.5) for enterprise use cases using Azure infrastructure.
• Build AI-powered applications using Python frameworks such as FastAPI and Streamlit, Gradio.
• Develop and manage RAG pipelines and integrate them with enterprise data sources.
• Utilize Azure AI Foundry for model lifecycle management, experimentation, and deployment.
• Leverage Azure Functions and Logic Apps to orchestrate AI workflows and automate business processes.
• Integrate AI capabilities into Power Platform (Power Apps, Power Automate) for low-code/no-code solutions.
• Build conversational AI experiences using Microsoft Bot Framework and integrate with Microsoft Teams.
• Enable intelligent document processing and collaboration by integrating AI with SharePoint.
• Conduct prompt engineering and use orchestration tools like Semantic Kernel and function calling.
• Ensure scalability, security, and performance of AI solutions deployed on Azure.
• Collaborate with cross-functional teams to integrate AI capabilities into existing systems.
• Stay updated with the latest advancements in AI, NLP, and Azure technologies.

About Cognizant:

Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at or @cognizant.

Job Type:
Internship

Contract length:
4 weeks

Internship Type:
Unpaid

About Knodemy

Knodemy is a U.S.-based AI education company transforming how students learn technology. Our platform integrates AI-powered teaching tools with localized curriculum to deliver future-ready skills to youth globally. We work across the U.S., GCC, and South Asia with a mission to close the digital skills gap.

Website:

Why This Role Matters

This internship is ideal for students passionate about technology, education, and community empowerment. You'll gain hands-on experience in AI product development and also play a critical role in teaching and mentoring K–12 learners in Saudi Arabia.

Key Responsibilities

Assist in the development and testing of Knodemy's AI-driven education platform (50% of role)

• Work with frontend/backend tools (React, , Firebase, Python, etc.)
• Integrate AI models and APIs (e.g., OpenAI, HuggingFace)
• Participate in UI/UX refinement and QA testing

Deliver tech training and mentorship to students in Riyadh (50% of role)

• Conduct sessions on AI, app design, and digital safety
• Support local instructors and help localize global curriculum
• Collect user feedback and iterate on instructional materials

Ideal Candidate

Currently pursuing a Bachelor's degree (4th year) or recently graduated in:

• Computer Science
• AI / Machine Learning
• Software Engineering

• Educational Technology or related fields

• Strong programming foundation in JavaScript, HTML/CSS, and ideally React or Vue

• Familiarity with backend (Python, , Firebase) and AI/ML APIs (a plus, not required)
• Clear communicator in English (Arabic fluency is required)
• Passion for teaching, mentorship, and empowering youth with tech skills
• Availability for 10–15 hours/week, including flexibility to join U.S. timezone calls

Requirements

• Personal laptop with working mic and camera
• Stable internet connection for live collaboration
• Interest in working with school-age learners (Grades K–12)

What You'll Gain

• Project experience in AI development and education delivery
• Mentorship from U.S.-based engineers, educators, and entrepreneurs
• Letter of recommendation and internship certificate
• Access to Knodemy's global alumni and instructor network
• Priority consideration for a full-time role with Knodemy USA

Key Responsibilities:

• Design and implement AI and ML solutions using Azure AI services, including Azure OpenAI, Azure AI Foundry, and Azure Machine Learning.
• Fine-tune and deploy LLMs (e.g., GPT-4o, GPT-3.5) for enterprise use cases using Azure infrastructure.
• Build AI-powered applications using Python frameworks such as FastAPI and Streamlit, Gradio.
• Develop and manage RAG pipelines and integrate them with enterprise data sources.
• Utilize Azure AI Foundry for model lifecycle management, experimentation, and deployment.
• Leverage Azure Functions and Logic Apps to orchestrate AI workflows and automate business processes.
• Integrate AI capabilities into Power Platform (Power Apps, Power Automate) for low-code/no-code solutions.
• Build conversational AI experiences using Microsoft Bot Framework and integrate with Microsoft Teams.
• Enable intelligent document processing and collaboration by integrating AI with SharePoint.
• Conduct prompt engineering and use orchestration tools like Semantic Kernel and function calling.
• Ensure scalability, security, and performance of AI solutions deployed on Azure.
• Collaborate with cross-functional teams to integrate AI capabilities into existing systems.
• Stay updated with the latest advancements in AI, NLP, and Azure technologies.

About Cognizant:
Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at or @cognizant.

Key Responsibilities

• Design and implement AI and ML solutions using Azure AI services, including Azure OpenAI, Azure AI Foundry, and Azure Machine Learning.
• Fine-tune and deploy LLMs (e.g., GPT-4o, GPT-3.5) for enterprise use cases using Azure infrastructure.
• Build AI-powered applications using Python frameworks such as FastAPI and Streamlit, Gradio.
• Develop and manage RAG pipelines and integrate them with enterprise data sources.
• Utilize Azure AI Foundry for model lifecycle management, experimentation, and deployment.
• Leverage Azure Functions and Logic Apps to orchestrate AI workflows and automate business processes.
• Integrate AI capabilities into Power Platform (Power Apps, Power Automate) for low-code/no-code solutions.
• Build conversational AI experiences using Microsoft Bot Framework and integrate with Microsoft Teams.
• Enable intelligent document processing and collaboration by integrating AI with SharePoint.
• Conduct prompt engineering and use orchestration tools like Semantic Kernel and function calling.
• Ensure scalability, security, and performance of AI solutions deployed on Azure.
• Collaborate with cross-functional teams to integrate AI capabilities into existing systems.
• Stay updated with the latest advancements in AI, NLP, and Azure technologies.

About Cognizant
Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at or @cognizant.

At

, we are building cutting-edge AI systems that combine
large language models, computer vision, and voice AI
to solve real-world challenges. We are looking for a
Senior AI Developer
who can design, build, and scale production-grade AI pipelines — from research to deployment — across cloud and edge environments.

Key Responsibilities

• Build & deploy end-to-end AI systems (LLMs, computer vision, voice transcription, multimodal AI) using Python, PyTorch/TensorFlow, and Docker/Kubernetes.
• Optimize AI models: fine-tune/train LLMs (e.g., GPT-4, Llama 2, RAG pipelines), vision models (CNNs, ViTs), and speech models (Whisper, VITS) for low-latency inference.
• Engineer AI pipelines: design scalable data preprocessing, training, and serving pipelines (Ray, Kubeflow, Airflow).
• Manage edge/cloud deployment: containerize models (Docker) and deploy on Kubernetes, AWS SageMaker, or edge devices.
• Performance tuning: benchmark and optimize models for GPU/TPU acceleration (CUDA, TensorRT).

Required Skills

5+ years in Python AI development (production experience required, not just research).

Hands-on with LLMs (LangChain, Hugging Face), computer vision (OpenCV, YOLO), and voice AI (ASR, TTS).

Strong MLOps skills: Docker, CI/CD for AI, model registries (MLflow, Weights & Biases).

Experience with distributed training frameworks (FSDP, DeepSpeed, Horovod).

Nice-to-Have

• NVIDIA Triton Inference Server, ONNX Runtime.
• Model optimization: quantization, pruning.
• CUDA-level performance debugging.

If you're passionate about scaling AI systems into production and want to work on impactful projects, we'd love to connect.

Master Works is seeking a skilled AI API Developer to join our AI Core Delivery team within the AI & Analytics CoE. In this role, you will build secure, scalable API services to integrate large language models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and agentic AI capabilities into enterprise systems. You will play a key role in delivering the AI Core platform as a unified, intelligent, and production-ready foundation for enterprise AI applications.

Key Responsibilities

• API Development & Integration
• Design, develop, and maintain RESTful APIs to handle user interactions, queries, and AI-generated responses.
• Integrate APIs with internal systems, external data sources, and enterprise applications to enable data retrieval and AI-driven actions.
• Ensure APIs support Single Sign-On (SSO) and enterprise authentication (e.g., STC AD).
• Backend Architecture & Performance
• Implement scalable database solutions to store user queries, responses, and analytics.
• Optimize API performance with caching mechanisms, load balancing, and multi-cloud readiness.
• Develop robust logging and monitoring solutions for API performance and troubleshooting.
• AI & LLMOps Support
• Collaborate with LLMOps engineers to deploy and manage LLMs via secure and observable API endpoints.
• Enable agentic AI capabilities by integrating APIs with automation tools and external services.
• Support evaluation pipelines to measure AI performance, accuracy, and relevance.
• Security & Compliance
• Implement strong access controls, data encryption, and enterprise security policies.
• Ensure compliance with internal governance, audit requirements, and data privacy standards.
• DevOps & Continuous Improvement
• Participate in CI/CD workflows for API deployment and updates.
• Debug backend/API issues, authentication errors, and AI response failures.
• Incorporate user feedback to improve API usability and reliability.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• Proven experience in API development (REST/GraphQL) using Python, Go, or Node.js.
• Strong knowledge of cloud platforms (AWS, Azure, GCP) and infrastructure-as-code (IaC).
• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.
• Experience integrating AI/ML models or LLMs into production environments is a plus.
• Understanding of authentication protocols (OAuth2, SAML, SSO) and enterprise security.
• Solid problem-solving skills, debugging expertise, and knowledge of observability tools (e.g., Prometheus, ELK, Datadog).

Preferred Skills

• Knowledge of Retrieval-Augmented Generation (RAG) pipelines and vector databases.
• Experience with agentic AI systems and tool integrations.
• Familiarity with multi-cloud environments and migration strategies.
• Exposure to enterprise-scale API governance and documentation standards.

Master Works is seeking a skilled AI API Developer to join our AI Core Delivery team within the AI & Analytics CoE. In this role, you will build secure, scalable API services to integrate large language models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and agentic AI capabilities into enterprise systems. You will play a key role in delivering the AI Core platform as a unified, intelligent, and production-ready foundation for enterprise AI applications.

Key Responsibilities

• API Development & Integration
• Design, develop, and maintain RESTful APIs to handle user interactions, queries, and AI-generated responses.
• Integrate APIs with internal systems, external data sources, and enterprise applications to enable data retrieval and AI-driven actions.
• Ensure APIs support Single Sign-On (SSO) and enterprise authentication (e.g., STC AD).
• Backend Architecture & Performance
• Implement scalable database solutions to store user queries, responses, and analytics.
• Optimize API performance with caching mechanisms, load balancing, and multi-cloud readiness.
• Develop robust logging and monitoring solutions for API performance and troubleshooting.
• AI & LLMOps Support
• Collaborate with LLMOps engineers to deploy and manage LLMs via secure and observable API endpoints.
• Enable agentic AI capabilities by integrating APIs with automation tools and external services.
• Support evaluation pipelines to measure AI performance, accuracy, and relevance.
• Security & Compliance
• Implement strong access controls, data encryption, and enterprise security policies.
• Ensure compliance with internal governance, audit requirements, and data privacy standards.
• DevOps & Continuous Improvement
• Participate in CI/CD workflows for API deployment and updates.
• Debug backend/API issues, authentication errors, and AI response failures.
• Incorporate user feedback to improve API usability and reliability.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field.
• Proven experience in API development (REST/GraphQL) using Python, Go, or Node.js.
• Strong knowledge of cloud platforms (AWS, Azure, GCP) and infrastructure-as-code (IaC).
• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.
• Experience integrating AI/ML models or LLMs into production environments is a plus.
• Understanding of authentication protocols (OAuth2, SAML, SSO) and enterprise security.
• Solid problem-solving skills, debugging expertise, and knowledge of observability tools (e.g., Prometheus, ELK, Datadog).

Preferred Skills

• Knowledge of Retrieval-Augmented Generation (RAG) pipelines and vector databases.
• Experience with agentic AI systems and tool integrations.
• Familiarity with multi-cloud environments and migration strategies.
• Exposure to enterprise-scale API governance and documentation standards.

A
Roblox AI Game Developer
at
Superbullet Studios
uses
SuperbulletAI
to transform client ideas into fully functional Roblox games in record time. With SuperbulletAI, it is now easier than ever to build a complete Roblox game in just
3–14 days
, meeting the growing demand from clients who want to delegate all the development work to skilled Roblox programmers to bring their dream games to life. Unlike traditional developers, this role combines programming expertise with AI-powered acceleration, enabling faster turnarounds and cost-efficient production without sacrificing quality.

Core Responsibilities

• Use
  SuperbulletAI
  to generate and refine Roblox scripts, systems, and assets.
• Implement client requests into functional gameplay features, GUIs, and core mechanics.
• Collaborate directly with clients and Superbullet Studios' creative team to translate ideas into interactive experiences.
• Optimize code, gameplay flow, and performance for scalability and player engagement.
• Ensure timely delivery of fully functional Roblox games within project constraints (e.g., $2,000 rapid-build initiative).

Key Skills

• Strong foundation in
  Roblox Lua/Luau scripting
  and Roblox Studio tools.
• Ability to integrate AI-generated code with manual programming for polished results.
• Understanding of Roblox development best practices: UI, monetization, assets, and optimization.
• Adaptability to fast timelines and shifting client requirements.
• Collaborative mindset, balancing AI acceleration with human creativity.

Value of the Role

The
Roblox AI Game Developer
bridges the gap between traditional Roblox programmers and next-gen AI workflows. By combining human expertise with the power of SuperbulletAI, this role delivers professional-quality Roblox games at a fraction of the time and cost, making it ideal for rapid client projects.

We're looking for highly motivated individuals with hands-on experience in Machine Learning and Deep Learning, particularly in Computer Vision and OCR (Optical Character Recognition) applications.

Key Responsibilities

• Apply and optimize existing ML/DL algorithms for real-world use cases
• Experiment with, fine-tune, and deploy models on virtual/cloud servers
• Build OCR applications from scratch, including layout detection and text extraction
• Work with NLP and text processing for unstructured data
• Collaborate on projects involving LLMs and Generative AI (a strong plus)

Preferred Skills

• Strong background in Computer Vision and OCR
• Familiarity with LLMs and Generative AI frameworks
• Experience with text processing and NLP techniques
• Ability to read and understand Arabic (a plus)
• Deployment and optimization experience on virtualized environments

If this sounds like you, we'd love to hear from you

Please send your resume with relevant experience to