187 AI Talent 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.

Company Description

is a Saudi-based company at the forefront of the healthcare technology sector, specializing in advanced artificial intelligence. Our mission is to revolutionize healthcare by transforming standard Hospital Information Systems (HIS) and Electronic Health Records (EHR) into dynamic, intelligent systems. We provide real-time, evidence-based clinical support to align with the healthcare goals of Saudi Arabia's Vision 2030, enhancing patient outcomes and supporting medical professionals.

Role Description

This is a full-time online role for a Data Science Specialist located in Jeddah. The Data Science Specialist will be responsible for analyzing large datasets, developing statistical models, conducting data analysis, and utilizing data science techniques to extract insights. Day-to-day tasks include data analytics, developing data-driven solutions to improve patient outcomes, and collaborating with cross-functional teams to implement AI-driven healthcare solutions.

Qualifications

• Analytical Skills and Data Analysis skills
• Expertise in Data Science and Data Analytics
• Strong Statistics knowledge
• Proficient in programming languages such as Python or R
• Experience with machine learning algorithms and data visualization tools
• Excellent problem-solving and communication skills
• Ability to work collaboratively in a team environment
• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field
• Experience in the healthcare industry is a plus

About Mozn
Mozn is a rapidly growing technology firm revolutionising the field of Artificial Intelligence and Data Science headquartered in Riyadh, Saudi Arabia and it's working to realise Vision 2030 with a proven track record of excellence in supporting and growing the tech ecosystem in Saudi Arabia and the GCC region. Mozn is the trusted AI technology partner for some of the largest government organisations, as well as many large corporations and startups.

We are in an exciting stage of scaling the company to provide AI-powered products and solutions both locally and globally that ensure the growth and prosperity of our digital humanity. It is an exciting time to work in the field of AI to create a long-lasting impact.

About The Role
We are seeking a
*Data Science Manager *
to join our team. In this leadership role, you will be responsible for guiding and developing a team of data scientists, driving the full lifecycle of model development, and ensuring delivery of high-quality, client-focused solutions across a range of business domains. You'll work closely with internal teams and external clients, leading initiatives that encompass a broad spectrum of data science applications.

What You'll Do

• Lead and mentor a team of data scientists, overseeing all aspects of model development, evaluation, and deployment.
• Own the data science project lifecycle—from ideation and experimentation to prototyping, productionization, and monitoring—ensuring delivery of impactful client solutions.
• Collaborate with engineering, product teams, and clients to understand requirements, translate business problems into data-driven solutions, and communicate results.
• Contribute to the design and improvement of data and software platforms, emphasizing scalable, reusable, and service-oriented solutions.
• Keep the team up to date with emerging technologies and industry trends in data science, machine learning, and AI, supporting continuous learning and innovation.
• Support business development efforts by engaging in client discussions, understanding client needs, and proposing data science solutions tailored to diverse domains.
• Foster an inclusive, collaborative, and high-performance team culture, focused on excellence and client satisfaction.
• Attract, develop, and retain top data science talent.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
• 6+ years of relevant experience, with at least 4 years in data science leadership or management roles.
• Proven experience developing and deploying data science solutions in production environments.
• Broad knowledge of machine learning, statistical modeling, and data analysis.
• Proficiency in Python and experience with frameworks such as PyTorch or TensorFlow.
• Experience working with large, real-world datasets (structured and unstructured).
• Familiarity with scalable ML infrastructure, cloud computing, and distributed computing is a plus.
• Strong client-facing communication skills; ability to translate technical concepts for business stakeholders.
• Proficiency in Arabic is preferred.
• Demonstrated ownership, collaboration, and commitment to excellence.

Benefits
*Why Mozn? *

• You will be at the forefront of an exciting time for the Middle East, joining a high-growth rocket-ship in an exciting space.
• You will be given a lot of responsibility and trust. We believe that the best results come when the people responsible for a function are given the freedom to do what they think is best.
• The fundamentals will be taken care of: competitive compensation, top-tier health insurance, and an enabling culture so that you can focus on what you do best.
• You will enjoy a fun and dynamic workplace working alongside some of the greatest minds in AI.
• We believe strength lies in difference, embracing all for who they are and empowered to be the best version of themselves.