15 AI Research jobs in Saudi Arabia

Lucidya is seeking an experienced AI Research Lead to spearhead our research initiatives and drive innovation in artificial intelligence. In this role, you will lead a team of AI researchers and data scientists, focusing on developing state-of-the-art machine learning models and algorithms that will enhance our products and services. Your expertise will guide the strategic direction of AI research and ensure alignment with business goals.

As an AI Research Lead, you will be responsible for designing and executing research projects, publishing findings in prestigious conferences and journals, and collaborating with cross-functional teams to implement AI solutions in real-world applications. You will play a critical role in fostering a culture of experimentation and continuous learning within the organization.

Key Responsibilities :

• Lead and manage AI research projects from conception through deployment, ensuring high-quality outcomes.
• Stay abreast of the latest advancements in AI and machine learning, incorporating cutting-edge techniques into research.
• Mentor junior researchers and promote knowledge sharing within the team.
• Collaborate with product teams to identify opportunities for AI integration and drive product innovation.
• Publish high-impact research papers and presentations at leading conferences.
• Build strong partnerships with academic institutions and industry leaders to foster collaboration.
• Develop frameworks for evaluating and validating AI models in real-world scenarios.

Requirements

Benefits

Why Join Us?

This is more than just an engineering role—it’s an opportunity to shape the infrastructure and technical future of Lucidya . You’ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.

We offer Employee Stock Option Plans (ESOP) to give you ownership in the company’s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you’ll have the autonomy to lead, innovate, and grow—both personally and professionally.

Lucidya is seeking an experienced AI Research Lead to spearhead our research initiatives and drive innovation in artificial intelligence. In this role, you will lead a team of AI researchers and data scientists, focusing on developing state-of-the-art machine learning models and algorithms that will enhance our products and services. Your expertise will guide the strategic direction of AI research and ensure alignment with business goals.

As an AI Research Lead, you will be responsible for designing and executing research projects, publishing findings in prestigious conferences and journals, and collaborating with cross-functional teams to implement AI solutions in real-world applications. You will play a critical role in fostering a culture of experimentation and continuous learning within the organization.

• Lead and manage AI research projects from conception through deployment, ensuring high-quality outcomes.
• Stay abreast of the latest advancements in AI and machine learning, incorporating cutting-edge techniques into research.
• Mentor junior researchers and promote knowledge sharing within the team.
• Collaborate with product teams to identify opportunities for AI integration and drive product innovation.
• Publish high-impact research papers and presentations at leading conferences.
• Build strong partnerships with academic institutions and industry leaders to foster collaboration.
• Develop frameworks for evaluating and validating AI models in real-world scenarios.

• Education:
• A PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Experience:
• 5+ years of experience in AI research, with a proven track record of leading research projects.
• Experience in developing and deploying machine learning models in production environments.
• Familiarity with various AI/machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Proven ability to publish research findings at prominent conferences and journals.
• Technical Skills:
• Strong programming skills in Python and experience with data manipulation and statistical analysis.
• Solid understanding of AI concepts, algorithms, and best practices.
• Familiarity with big data technologies such as Hadoop or Spark is a plus.
• Soft Skills:
• Excellent communication skills, both written and verbal, for presenting research findings.
• Strong leadership and mentoring abilities.
• Ability to work collaboratively in a team-oriented environment.
• Other:
• Willingness to travel for collaboration with research partners and conferences.

This is more than just an engineering role—it’s an opportunity to shape the infrastructure and technical future of Lucidya . You’ll play a key part in scaling our platform, building a strong engineering culture, and delivering technology that empowers companies across the region and beyond.

We offer Employee Stock Option Plans (ESOP) to give you ownership in the company’s success, along with performance-based bonuses to reward your impact and dedication. As part of a fast-growing team, you’ll have the autonomy to lead, innovate, and grow—both personally and professionally.

Build the ML infrastructure powering Saudi Arabia's financial transformation.

We're Aajil (previously BuildNow), backed by leading regional VCs and operating at the heart of Saudi Arabia's $50B+ SME market. We've already revolutionized lending timelines from 3 months to hours. Now we're building what's next: real-time, intelligent credit decisions that will transform how millions of SMEs access capital.

As Machine Learning Lead, you'll architect the intelligence layer for the Kingdom's most ambitious fintech. With exclusive access to the data we have, you'll build ML systems that don't exist anywhere in the region — yet.

Saudi Arabia is experiencing the world's most ambitious economic transformation. Vision 2030 has created unprecedented opportunities for those bold enough to seize them. The government is digitizing at breakneck speed, regulations are evolving in real-time, and there's genuine will to make the Kingdom a global fintech hub.

This isn't another "emerging market" story. This is ground zero for building financial infrastructure that will define the next decade.

You'll lead our ML efforts from our Riyadh headquarters, building systems that process billions in BNPL decisions:

• Own the evolution from hours → minutes → real-time credit decisions
• Build and lead a world-class ML team, mixing top Saudi talent with international experts
• Architect production ML systems handling thousands of daily decisions with 99.9% uptime

Essential Experience:

• 8+ years building and deploying ML systems in production environments
• Proven track record leading ML teams and delivering business impact
• Deep expertise in credit risk, fraud detection, or financial ML systems
• Experience with real-time ML serving, feature stores, and MLOps at scale
• Strong engineering fundamentals and architectural thinking
• Track record of hiring and developing exceptional ML talent

The X-Factors:

• You've built ML systems that handle serious money and serious scale
• You've worked in high-growth environments where perfect is the enemy of shipped
• You're excited by exclusive data access and building unique competitive advantages
• You see the opportunity in Saudi Arabia while others see only challenges

Unprecedented Opportunity : The Kingdom is investing billions in digital transformation. Your work here will have 10x the impact of mature markets.

Exclusive Data Access : Through government partnerships, we have data advantages that otherstartups dream of. Tens of millions of transactions— this is your ML playground.

This role isn't for everyone. It's for ML leaders who see massive opportunity where others see risk. Who want to build something that matters, not optimize something that already works.

Send us:

1. Your GitHub/papers/portfolio — show us what you've built at scale
2. A brief note on why Saudi Arabia, why now, why Aajil — we want missionaries, not mercenaries

P.S. We've already automated credit assessments from the industry standard of 3 months to hours in one of the world's most complex markets. If you think that's just the beginning of what's possible, we should talk.

Location : Riyadh, Saudi Arabia (relocation support provided)

Start Date : Q3 2025

Build the ML infrastructure powering Saudi Arabia's financial transformation.

We're Aajil (previously BuildNow), backed by leading regional VCs and operating at the heart of Saudi Arabia's $50B+ SME market. We've already revolutionized lending timelines from 3 months to hours. Now we're building what's next: real-time, intelligent credit decisions that will transform how millions of SMEs access capital.

As Machine Learning Lead, you'll architect the intelligence layer for the Kingdom's most ambitious fintech. With exclusive access to the data we have, you'll build ML systems that don't exist anywhere in the region — yet.

Saudi Arabia is experiencing the world's most ambitious economic transformation. Vision 2030 has created unprecedented opportunities for those bold enough to seize them. The government is digitizing at breakneck speed, regulations are evolving in real-time, and there's genuine will to make the Kingdom a global fintech hub.

This isn't another "emerging market" story. This is ground zero for building financial infrastructure that will define the next decade.

You'll lead our ML efforts from our Riyadh headquarters, building systems that process billions in BNPL decisions:

• Own the evolution from hours → minutes → real-time credit decisions
• Build and lead a world-class ML team, mixing top Saudi talent with international experts
• Architect production ML systems handling thousands of daily decisions with 99.9% uptime

Essential Experience:

• 8+ years building and deploying ML systems in production environments
• Proven track record leading ML teams and delivering business impact
• Deep expertise in credit risk, fraud detection, or financial ML systems
• Experience with real-time ML serving, feature stores, and MLOps at scale
• Strong engineering fundamentals and architectural thinking
• Track record of hiring and developing exceptional ML talent

The X-Factors:

• You've built ML systems that handle serious money and serious scale
• You've worked in high-growth environments where perfect is the enemy of shipped
• You're excited by exclusive data access and building unique competitive advantages
• You see the opportunity in Saudi Arabia while others see only challenges

Unprecedented Opportunity : The Kingdom is investing billions in digital transformation. Your work here will have 10x the impact of mature markets.

Exclusive Data Access : Through government partnerships, we have data advantages that otherstartups dream of. Tens of millions of transactions— this is your ML playground.

This role isn't for everyone. It's for ML leaders who see massive opportunity where others see risk. Who want to build something that matters, not optimize something that already works.

Send us:

1. Your GitHub/papers/portfolio — show us what you've built at scale
2. A brief note on why Saudi Arabia, why now, why Aajil — we want missionaries, not mercenaries

P.S. We've already automated credit assessments from the industry standard of 3 months to hours in one of the world's most complex markets. If you think that's just the beginning of what's possible, we should talk.

Location : Riyadh, Saudi Arabia (relocation support provided)

Start Date : Q3 2025

Direct message the job poster from InnovationTeam

Job Summary:

We are seeking an experienced Presales Engineer with a strong background in digital technologies and solution architecture to support our sales and delivery teams. This role requires the ability to understand customer challenges, design tailored technical solutions, and demonstrate value across key domains including data analytics, cloud, AI, and application development .

Key Responsibilities:

• Collaborate with the sales team to understand client requirements and propose customized solutions
• Design and present technical architecture aligned with customer needs and industry best practices
• Deliver technical presentations, product demos, and Proof of Concepts (PoCs)
• Support RFP/RFI responses, solution proposals, and pricing estimations
• Bridge communication between technical and non-technical stakeholders
• Stay up to date with emerging technologies and market trends relevant to our client focus areas

Core Technical Expertise Required:

Data Analytics : Familiar with designing analytical solutions, dashboards, and insights delivery

AI & Machine Learning : Familiarity with ML workflows, model training/integration (not deep research-focused)

Cloud Computing

• Cloud migration strategies and architecture
• Infrastructure and platform services across Any Cloud technologies
• Cloud-native application design and deployment

Custom Application Development Experience

• Full lifecycle expertise in Java, Web & Mobile application development
• Integration with APIs, backend systems, and third-party services

Preferred / Advantageous Experience with the Following Platforms:

• web Methods and IBM Integration Suite
• Camunda (workflow and process automation)

Qualifications & Skills:

• Bachelor’s degree in computer science, Engineering, or related field
• 7+ years of experience in presales, solution engineering, or technical consulting
• Strong communication and presentation skills
• Proven client-facing experience in enterprise-level engagements
• Ability to write clear and concise technical proposals and documentation

Why Join Us?

• Work on strategic digital transformation projects with a leading telecom client.
• Opportunity to shape cutting-edge solutions in cloud, AI, and integration
• Dynamic work environment with high visibility and impact

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Business Development
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at InnovationTeam by 2x

Get notified about new Presales Engineer jobs in Riyadh, Saudi Arabia .

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

2 weeks ago Be among the first 25 applicants

Job Summary:

We are seeking an experienced

Job Summary:

We are seeking an experienced Presales Engineer with a strong background in digital technologies and solution architecture to support our sales and delivery teams. This role requires the ability to understand customer challenges, design tailored technical solutions, and demonstrate value across key domains including data analytics, cloud, AI, and application development .

Key Responsibilities:

• Collaborate with the sales team to understand client requirements and propose customized solutions
• Design and present technical architecture aligned with customer needs and industry best practices
• Deliver technical presentations, product demos, and Proof of Concepts (PoCs)
• Support RFP/RFI responses, solution proposals, and pricing estimations
• Bridge communication between technical and non-technical stakeholders
• Stay up to date with emerging technologies and market trends relevant to our client focus areas
  
  

• Cloud migration strategies and architecture
• Infrastructure and platform services across Any Cloud technologies
• Cloud-native application design and deployment
  
  

• Full lifecycle expertise in Java, Web & Mobile application development
• Integration with APIs, backend systems, and third-party services
  
  

• Pega (BPM & case management solutions)
• web Methods and IBM Integration Suite
• Google Apigee (API management)
• Camunda (workflow and process automation)
  
  

• Bachelor's degree in computer science, Engineering, or related field
• 7+ years of experience in presales, solution engineering, or technical consulting
• Strong communication and presentation skills
• Proven client-facing experience in enterprise-level engagements
• Ability to write clear and concise technical proposals and documentation
  
  

• Work on strategic digital transformation projects with leading telecom client
• Opportunity to shape cutting-edge solutions in cloud, AI, and integration
• Dynamic work environment with high visibility and impact

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Other
• Industries IT Services and IT Consulting

Referrals increase your chances of interviewing at InnovationTeam by 2x

Get notified about new Presales Engineer jobs in Riyadh, Riyadh, Saudi Arabia .

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.

Key Responsibilities:

1. Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.
2. Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.
3. Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.
4. Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.
5. Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.
6. Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.

Qualifications:

• Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.
• 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.
• Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.
• Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.
• Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.

As a Senior Machine Learning Engineer specializing, you will lead the development and implementation of machine learning algorithms and models to enhance our mapping and location-based services. You will be responsible for leveraging machine learning techniques to extract insights, automate processes, and improve the accuracy and relevance of our map data.

Key Responsibilities:

1. Algorithm Development: Lead the design, development, and optimization of machine learning algorithms and models for various mapping applications, including data analysis, feature extraction, image processing, and predictive modeling.
2. Data Processing and Analysis: Collaborate with data engineers to preprocess, clean, and analyze map data, including satellite imagery, LiDAR data, and point cloud data, to extract relevant features and patterns.
3. Model Training and Evaluation: Train, validate, and evaluate machine learning models using large-scale datasets to achieve high accuracy, robustness, and scalability for mapping applications, such as road detection, object recognition, and semantic segmentation.
4. Integration and Deployment: Integrate machine learning models into existing mapping systems and workflows, ensuring seamless deployment and interoperability with other software components. Collaborate with software engineers to develop APIs and interfaces for model integration.
5. Performance Optimization: Optimize machine learning algorithms and models for performance, efficiency, and scalability, including algorithm parallelization, hardware acceleration, and deployment on cloud platforms.
6. Research and Innovation: Stay updated on the latest advancements in machine learning, computer vision, and geospatial technologies, and apply innovative techniques to solve mapping-related challenges and drive continuous improvement.

Qualifications:

• Master's or Ph.D. degree in computer science, machine learning, artificial intelligence, or a related field.
• 5 years of experience in machine learning research and development, with a focus on computer vision, geospatial analysis, or mapping applications.
• Proficiency in machine learning frameworks and libraries, such as TensorFlow, PyTorch, and OpenCV.
• Strong programming skills in Python, C++, or another relevant language, with experience in software development and version control systems.
• Experience with geospatial data processing and analysis tools, such as GDAL, PostGIS, and QGIS.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Effective communication and leadership skills, with experience mentoring junior team members and collaborating with cross-functional teams.