177 AI Engineer jobs in Saudi Arabia

We are a trusted recruitment partner for organizations across the Middle East. Established in 2016, we specialize in delivering unparalleled talent solutions by leveraging our strategic market presence and understanding of evolving industry dynamics.

Our customer is seeking a AI Engineer to contribute to success in the Technical domain.

• Bachelor’s degree in a relevant field
• 3–7 years of relevant experience
• Strong communication and collaboration skills
• Proficiency with industry-standard tools/software
• Ability to manage multiple tasks and deadlines
• Knowledge of compliance and governance standards
• Experience in the related industry
• Strong problem-solving and analytical skills
• Ability to work in cross-functional teams
• Fluency in English; Arabic is a plus
• Proven track record of delivering results
• Adaptability to fast-paced environments

The purpose of an AI engineer position is to design, develop, and implement artificial intelligence solutions to address complex problems and enhance processes within an organization. This role aims to leverage advanced algorithms, machine learning, and deep learning techniques to create intelligent systems that can analyze data, make predictions, and automate tasks. Ultimately, the AI engineer contributes to technological innovation, improves efficiency, and helps the organization stay competitive by harnessing the power of artificial intelligence in various applications, such as data analysis, image recognition, natural language processing, and more.

1. Design and optimize machine learning algorithms for specific applications.
2. Manage and preprocess large datasets to extract relevant features for training AI models.
3. Train machine learning models and evaluate their performance through testing.
4. Use programming languages (e.g., Python, Java) for AI development.
5. Apply expertise in deep learning frameworks like TensorFlow or PyTorch to build and implement neural networks.
6. Work closely with cross-functional teams, including data scientists, software engineers, and domain experts.
7. Analyze complex problems and propose innovative AI solutions to address business challenges.
8. Stay updated on the latest advancements in AI and integrate new technologies into existing systems.
9. Ensure AI applications comply with ethical standards and legal regulations.
10. Prepare comprehensive documentation for algorithms, models, and processes.
11. Engage in ongoing learning to stay abreast of emerging technologies and industry trends.
12. Assist in deploying AI models into production environments, ensuring scalability and efficiency.

The purpose of an AI engineer position is to design, develop, and implement artificial intelligence solutions to address complex problems and enhance processes within an organization. This role aims to leverage advanced algorithms, machine learning, and deep learning techniques to create intelligent systems that can analyze data, make predictions, and automate tasks. Ultimately, the AI engineer contributes to technological innovation, improves efficiency, and helps the organization stay competitive by harnessing the power of artificial intelligence in various applications, such as data analysis, image recognition, natural language processing, and more.

1. Design and optimize machine learning algorithms for specific applications.
2. Manage and preprocess large datasets to extract relevant features for training AI models.
3. Train machine learning models and evaluate their performance through testing.
4. Use programming languages (e.g., Python, Java) for AI development.
5. Apply expertise in deep learning frameworks like TensorFlow or PyTorch to build and implement neural networks.
6. Work closely with cross-functional teams, including data scientists, software engineers, and domain experts.
7. Analyze complex problems and propose innovative AI solutions to address business challenges.
8. Stay updated on the latest advancements in AI and integrate new technologies into existing systems.
9. Ensure AI applications comply with ethical standards and legal regulations.
10. Prepare comprehensive documentation for algorithms, models, and processes.
11. Engage in ongoing learning to stay abreast of emerging technologies and industry trends.
12. Assist in deploying AI models into production environments, ensuring scalability and efficiency.

*Job Purpose:
We are seeking a
Saudi National AI Engineer *
to design, develop, and implement AI-powered solutions that address complex business challenges. The ideal candidate will have strong technical expertise in machine learning, deep learning, and data engineering, with the ability to work collaboratively in agile teams.

*Key Responsibilities: *

• Design, develop, and deploy machine learning and deep learning models to support business needs.
• Work with large datasets to perform data preprocessing, feature engineering, and model training.
• Collaborate with data scientists, software engineers, and business stakeholders to define requirements and deliver scalable AI solutions.
• Optimize AI/ML models for accuracy, performance, and scalability.
• Build APIs and integrate AI models into existing applications and systems.
• Stay up-to-date with the latest AI research, frameworks, and technologies, and recommend their application.
• Document processes, models, and workflows for future reference and audits.
• Support AI governance, ethics, and compliance requirements.

Requirements

• Saudi National (mandatory).
• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3-5 years of experience in AI, machine learning, or data engineering.
• Strong programming skills in Python, R, or Java.
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras.
• Familiarity with cloud AI platforms (AWS SageMaker, Azure AI, or Google Cloud AI).
• Solid knowledge of data structures, algorithms, and software engineering principles.
• Strong analytical, problem-solving, and communication skills.

*Key Competencies: *

• Strong business and technical acumen.
• Ability to work in cross-functional teams.
• Commitment to continuous learning and innovation.
• High attention to detail and quality delivery.

As an AI Engineer at COGNNA, you will be at the forefront of developing cutting-edge AI solutions that enhance our cybersecurity products. You will join our AI & ML team and collaborate with top-class engineers and data scientists to design, implement, and optimize machine learning algorithms that analyze and mitigate threats in real time.

• Develop and implement machine learning and deep learning algorithms to improve our threat detection capabilities.
• Work with large datasets to train and validate models while ensuring the accuracy and performance of the AI systems.
• Collaborate with cross-functional teams to integrate AI solutions into our existing products.
• Research and stay updated with the latest trends and advancements in AI technologies.
• Design, test, and deploy AI models using appropriate frameworks and tools.
• Monitor and evaluate the performance of AI systems, implementing improvements as necessary.
• Document processes, algorithms, and model performance for future reference and compliance.

Joining COGNNA means being part of a visionary team dedicated to solving some of today's biggest cybersecurity challenges. We encourage innovation, value contributions, and provide numerous opportunities for personal and professional growth.

Ready to amplify your AI engineering skills? Apply today and help us safeguard the digital world

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 3+ years of experience in AI/ML development and deployment.
• Strong proficiency in programming languages such as Python, Java, or R.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or Scikit-Learn.
• Solid understanding of algorithms, data structures, and statistical analysis.
• Familiarity with neural networks and computer vision concepts.
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and their AI services.
• Proven ability to work collaboratively in a fast-paced environment.
• Excellent problem-solving skills and a passion for innovation.

What We Value

• Curiosity and a willingness to learn about new AI technologies.
• A proactive mindset that embraces challenge and creative problem-solving.
• Strong communication skills to convey complex ideas clearly and effectively.

Competitive Package – Salary + equity options + performance incentives

Flexible & Remote – Work from anywhere with an outcomes-first culture

Team of Experts – Work with designers, engineers, and security pros solving real-world problems

Growth-Focused – Your ideas ship, your voice counts, your growth matters

Global Impact – Build products that protect critical systems and data

Location: Riyadh (Hybrid)

About Us:

Bites is transforming education with cutting-edge technology, empowering over 1 million users across 150+ countries with personalized and enjoyable learning experiences. Using GenAI, we've transformed more than 4 million studying materials into impactful learning experiences for students across the world.

Responsibilities:

• • Develop AI based solutions for document parsing and content generation.
• Implement and improve OCR technologies for accurate document scanning and data extraction.
• Collaborate with cross-functional teams to integrate LLMs and NLP solutions into our platform.
• Design and maintain scalable AI systems to enhance user experience.
• Conduct research to stay updated with the latest advancements in AI and machine learning.
• Requirements:
• • Bachelor's Degree: A degree in Computer Science, Artificial Intelligence, or a related field is essential to ensure a solid foundation in technical skills and theoretical knowledge.
• 2+ Years of Experience: Demonstrated experience in AI development, specifically focusing on:
• Document Parsing: Understanding of techniques and tools for extracting and structuring information from various document formats.
• Large Language Models (LLMs): Experience in integrating with cloud hosted LLMs for content generation and other natural language tasks.
• Natural Language Processing (NLP): Proficiency in NLP techniques for text analysis and language translation.
• Optical Character Recognition (OCR): Hands-on experience with OCR technologies to convert different types of documents, such as scanned paper documents, PDFs, or images into editable and searchable data.
• Programming Proficiency: Strong skills in programming languages such as Python, with experience using frameworks like TensorFlow, PyTorch, or similar for developing AI models.
• Problem-Solving Skills: Ability to tackle complex challenges and develop innovative solutions.

Preferred Qualifications:

• • Experience with cloud platforms like AWS, Google Cloud, or Azure.
• Familiarity with deploying AI models in production environments.
• Contributions to open-source AI projects or publications in relevant fields.
• Knowledge of spaced repetition algorithms and educational technology.

Company Description

Trusted Data Technologies is on a mission to deliver ethical, thoughtful, and profitable AI solutions addressing pressing business challenges. Specializing in People Analytics and Supply Chain, we provide cutting-edge technology to help organizations achieve measurable and sustainable outcomes. Our proprietary AI solutions, PeopleEdge and SupplyEdge, support HR visionaries and supply chain innovators in achieving greater efficiency, productivity, and profitability. With a proven track record across various industries including telecommunications, automotive, manufacturing, retail, and more, we are committed to transforming business challenges into measurable success.

Role Description

This is a full-time remote role for an AI Engineer (Back Support). The AI Engineer will be responsible for developing and implementing AI models, particularly focusing on pattern recognition and neural networks. They will collaborate with cross-functional teams to integrate AI solutions into software applications and provide technical support for Natural Language Processing (NLP) tasks. The role involves the continuous improvement of existing AI systems and staying updated with the latest advancements in AI technology.

Qualifications

• Strong skills in Pattern Recognition and Neural Networks
• Solid foundation in Computer Science and Software Development
• Experience with Natural Language Processing (NLP)
• Excellent problem-solving and analytical skills
• Ability to work independently and in a remote environment
• Relevant experience in AI-related fields, preferably within varied industries such as telecommunications, automotive, and manufacturing
• Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred

Company Description

Trusted Data Technologies aims to deliver ethical, thoughtful, and profitable AI solutions to transform business challenges into measurable success. With a focus on People Analytics and Supply Chain, our proprietary AI solutions, PeopleEdge and SupplyEdge, help organizations drive productivity, career development, efficiency, and profitability. Our team has a proven track record of delivering complex data analytics and AI solutions across various industries including telecommunications, automotive, FMCG, manufacturing, retail, banking, insurance, and public transport design.

Role Description

This is a full-time remote role for an AI Engineer based in Saudi Arabia. The AI Engineer will be responsible for developing and implementing AI models, conducting research on pattern recognition and neural networks, and working on natural language processing (NLP) projects. Additional tasks include software development, data analysis, and collaboration with cross-functional teams to deliver innovative AI solutions.

Qualifications

• Strong background in Pattern Recognition and Neural Networks
• Degree in Computer Science or a related field
• Experience in Software Development and Natural Language Processing (NLP)
• Excellent analytical and problem-solving skills
• Proficiency in programming languages such as Python, R, or Java
• Ability to work independently and in remote settings
• Experience

Company Description

Trusted Data Technologies is dedicated to delivering ethical, thoughtful, and profitable AI solutions that address significant business challenges. Our mission is to reduce costs, manage risks effectively, and foster the development of talented organizations to create tangible value through advanced technology. Specializing in People Analytics and Supply Chain, we provide cutting-edge technology to achieve measurable and sustainable outcomes. Our proprietary AI solutions include PeopleEdge for HR insights and SupplyEdge for supply chain efficiency. Our team boasts a proven track record in delivering complex data analytics and AI solutions across various industries, including telecommunications, automotive, FMCG, manufacturing, retail, banking, insurance, and public transport design.

Role Description

This is a full-time remote role for an AI Engineer (Backend Support). The AI Engineer will be responsible for developing and maintaining backend systems, implementing AI algorithms, supporting pattern recognition and neural networks, and dealing with natural language processing (NLP). The AI Engineer will work on software development tasks and collaborate with cross-functional teams to ensure the successful integration of AI technologies into various applications.

Qualifications

• Experience in Pattern Recognition and Neural Networks
• Strong background in Computer Science and Software Development
• Proficiency in Natural Language Processing (NLP)
• Excellent problem-solving and analytical skills
• Ability to work independently and remotely
• Bachelor's or Master's degree in Computer Science, AI, or a related field
• Experience in developing and implementing AI algorithms
• Strong communication skills and the ability to collaborate with cross-functional teams
• Experience in the relevant industry is a plus