62 AI Director jobs in Saudi Arabia

Lucidya is an innovative SaaS company dedicated to transforming the world of customer experience and content analysis through the power of Machine Learning, Big Data, and now Generative AI technologies. Our platform helps organizations across the MENA region unlock actionable insights from unstructured data sources—social media, surveys, contact centers, and more—enabling them to understand their customers like never before.

As part of our mission, we are looking for a visionary VP of Engineering - AI to lead our engineering efforts in advancing our artificial intelligence capabilities and product offerings.

As the VP of Engineering - AI, you will shape Lucidya's technical vision and drive execution across customer-facing AI features, AI infrastructure platforms, and cutting-edge research in GenAI and classical ML. Reporting directly to the CTO, you will lead multiple cross-functional engineering teams, scale AI innovations, and ensure that high-level company KPIs are met.

This is a high-impact leadership role that combines strategic direction, deep technical engagement, and organizational mentorship.

Key Responsibilities

• Define and drive the technical strategy for AI in alignment with Lucidya's business and product objectives
• Lead research and innovation in both classical machine learning and Generative AI (e.g., LLMs, RAG, fine-tuning)
• Translate cutting-edge AI research into scalable, production-grade features and platform capabilities
• Build, scale, and mentor high-performing teams of engineers, data scientists, and AI researchers
• Foster a culture of collaboration, accountability, and continuous improvement across engineering teams
• Oversee the development, deployment, and integration of AI models within Lucidya's SaaS products
• Partner with Product and Platform Engineering teams to prioritize and deliver impactful AI-driven features
• Ensure the scalability and reliability of AI infrastructure in collaboration with platform teams
• Establish and enforce best practices across software development, MLOps, data governance, and responsible AI
• Track and report on key technical and business KPIs to ensure AI initiatives deliver measurable value
• Communicate technical progress, strategic direction, and key milestones to executive leadership
• Manage team resources, hiring, and budgeting to meet project goals and organizational needs
• Monitor industry trends and assess emerging AI technologies for adoption and differentiation
• Champion internal R&D programs to explore and validate new AI methods and approaches
  
  

• Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field is required. A Master's or PhD with a focus on AI is a strong plus
• 10+ years of experience in software engineering, including 5+ years in senior leadership roles focused on AI/ML
• Demonstrated success in delivering AI/ML products at scale, preferably within SaaS or enterprise environments
• Hands-on expertise in both classical machine learning and Generative AI (e.g., LLMs, RAG)
• Strong programming skills in languages such as Python, Java, or R, with proficiency in ML frameworks like TensorFlow, PyTorch, and Scikit-learn
• In-depth understanding of the ML/AI lifecycle, including pipelines, model training, evaluation, and deployment
• Proven ability to manage agile, cross-functional teams with a strong operational and delivery mindset
• Strategic thinking with a track record of aligning technical initiatives to business goals
• Excellent communication and storytelling skills, capable of bridging technical and non-technical audiences
• Passionate about mentoring, coaching, and growing engineering and data science talent
• Familiarity with modern cloud platforms, data infrastructure, MLOps and DevOps practices relevant to AI.

• Seniority level Executive

• Employment type Full-time

• Industries IT Services and IT Consulting

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Digital and AI Senior

Work Location: Saudi Arabia

About the Opportunity:

Are you open to an exciting opportunity with a prestigious, large-scale organisation where you would report directly to the Chief Information Officer? They are seeking a seasoned Digital & AI leader with proven expertise in artificial intelligence, machine learning, and robotic process automation (RPA), and a strong track record of driving successful digital transformation initiatives.

Requirements:

• Candidates who are based / or who have experience working in China, Malaysia, or Singapore are preferred
• 8+ years of experience in holding companies or different sectors

Key Responsibilities:

Emerging Technology Deployment and Adoption:

• Drive the implementation and scaling of Generative AI tools (e.g., Google Gemini) and Robotic Process Automation (RPA) solutions (e.g., UiPath) to enhance operational efficiency.
• Identify and prioritize high-impact use cases for emerging technologies across functions such as Finance, Supply Chain, Commercial, and HR.
• Promote organization-wide adoption through training, advocacy, and integration into business processes.
• Monitor the performance of deployed technologies, ensuring they deliver measurable value and scalability.

Innovation Program Leadership:

• Lead end-to-end innovation initiatives, from ideation to proof of concept (POC), proof of value (POV), and full-scale implementation.
• Collaborate with cross-functional stakeholders to identify opportunities where AI and emerging technologies can drive business value.
• Foster a culture of experimentation, learning, and continuous improvement.

Digital Integration with Ecosystem Partners:

• Strengthen the company's digital integration with suppliers and customers across all operational cycles, including Sales, Purchasing, Inventory, and Shipments.
• Enable seamless data exchange and collaboration through innovative digital solutions.
• Lead initiatives to enhance supply chain visibility and customer satisfaction.

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Machine Learning & AI Specialist

Location:
Dammam / Remote

Type:
Full-time

Objective:

Develop AI and computer vision solutions for fast and accurate item recognition and counting.

Responsibilities:

• Build and deploy computer vision models for SKU recognition in varied real-world settings.
• Implement 3D perception / Spatial Vision using
  LiDAR
  and other sensors for accurate mapping of items and shelves.
• Optimize models for on-device processing (mobile/tablet) to reduce latency.
• Integrate AI outputs with backend or ERP systems for real-time inventory updates.
• Preprocess, label, and manage datasets for training and testing models.
• Continuously monitor and improve model accuracy and performance.

Required Skills & Tools:

• Deep learning & computer vision (CNNs, 3D CNNs, object detection)
• Frameworks:
  TensorFlow, PyTorch, OpenCV
• On-device inference:
  TensorFlow Lite, ONNX, CoreML
• 3D sensing / LiDAR integration
• Data preprocessing, labeling, and model evaluation

Preferred:

• Augmented Reality (AR) for overlay information
• Self-supervised or semi-supervised learning techniques

Proudly voted a Great Place to Work, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.

We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we’re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!
As we continue to expand our technology capabilities, we are seeking a highly experienced and visionary Director of AI Development to lead our Artificial Intelligence initiatives and guide our team to new frontiers of innovation.

The Director of AI Development will be responsible for strategically shaping and executing our AI roadmap. This individual will lead a dedicated, multi-layered AI engineering organization—comprising AI Engineering Managers, Team Leads, and their squads—to design, build, and integrate advanced AI models, solutions, and platforms. By fostering a culture of continuous innovation, technical excellence, and cross-functional collaboration, the Director of AI Development will ensure that Unifonic remains at the cutting edge of AI technologies, delivering measurable value and transformative capabilities across the business.

Help us shape the future of communications by:

• Defining the long-term AI strategy and roadmap in alignment with the company’s overall business objectives, product vision, and innovation goals

• Staying abreast of emerging AI trends, technologies, tools, and best practices, and proactively identify opportunities for new integrations and enhancements

• Overseeing the selection, design, and implementation of cutting-edge AI and machine learning models, ensuring alignment with stakeholder requirements and industry standards

• Evaluating and integrating external AI solutions (e.g., provider APIs, pre-trained models) to augment internal capabilities and accelerate time-to-market

• Exploring and validating new AI methods, algorithms, and frameworks to optimize performance, scalability, and accuracy

• Leading, mentoring and developing AI Engineering Managers, supporting their growth and enabling them to effectively lead their respective teams of engineers and specialists

• Fostering a collaborative, high-performance culture that emphasizes innovation, knowledge sharing, accountability, and professional development

• Building and maintaining a talent pipeline, ensuring that the AI organization attracts, retains, and develops world-class engineering talent

• Partnering closely with Product, Design, Data, Infrastructure, and other Engineering leaders to ensure the seamless integration of AI solutions into existing and future products

• Collaborating with business stakeholders to understand AI-related requirements, communicate progress, and align on priorities and success metrics

• Advocating for AI capabilities and communicate value to executive leadership, helping to shape strategic decisions and drive business outcomes

• Establishing and maintaining engineering standards, processes, and best practices for model development, deployment, monitoring, and continuous improvement

• Ensuring compliance with all relevant data privacy, security, and regulatory requirements in the development and deployment of AI solutions

• Tracking and analyzing key performance indicators (KPIs), using data-driven insights to optimize performance, resource allocation, and return on investment

What you'll bring:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field; Ph.D. preferred

• 10+ years of experience in software engineering, with at least 5 years focused on AI, machine learning, and advanced analytics

• Demonstrated track record of delivering production-grade AI solutions at scale, ideally within a product-driven organization

• Proven experience leading and building high-performing engineering teams, including managers and team leads

• Deep understanding of modern AI/ML frameworks, architectures, and technologies (e.g., TensorFlow, PyTorch, large language models, generative AI, advanced NLP/NLU techniques)

• Strong communication and stakeholder management skills, with the ability to effectively translate technical concepts into business value for senior leadership

• Strategic mindset, with a results-oriented approach to innovation and a passion for continuously pushing technical boundaries

• Must be fluent in Arabic and English

As a Unifone you’ll receive a range of benefits:

• Competitive salary and bonus

• Unifonic share scheme (we are all owners!)

• 30 holiday days after the first anniversary

• Your Birthday off!

• Spend up to 10 weeks per year working from anywhere in the world!

• Paid leave for new parents

• LinkedIn learning license

Proudly voted a Great Place to Work, we are a dynamic startup in the SaaS space that is revolutionizing the way businesses communicate. Our team is made up of 500 energetic and passionate Unifones who are dedicated to delivering the best possible experience to 5000+ customer-centric companies.

We pride ourselves on our fun and collaborative work environment, where creativity and new ideas are constantly encouraged. As shareholders in the business, we’re so much more than a group of passionate communicators. We are Unifones. Join our team and be a part of something big!
As we continue to expand our technology capabilities, we are seeking a highly experienced and visionary Director of AI Development to lead our Artificial Intelligence initiatives and guide our team to new frontiers of innovation.

The Director of AI Development will be responsible for strategically shaping and executing our AI roadmap. This individual will lead a dedicated, multi-layered AI engineering organization—comprising AI Engineering Managers, Team Leads, and their squads—to design, build, and integrate advanced AI models, solutions, and platforms. By fostering a culture of continuous innovation, technical excellence, and cross-functional collaboration, the Director of AI Development will ensure that Unifonic remains at the cutting edge of AI technologies, delivering measurable value and transformative capabilities across the business.

Help us shape the future of communications by:

• Defining the long-term AI strategy and roadmap in alignment with the company’s overall business objectives, product vision, and innovation goals

• Staying abreast of emerging AI trends, technologies, tools, and best practices, and proactively identify opportunities for new integrations and enhancements

• Overseeing the selection, design, and implementation of cutting-edge AI and machine learning models, ensuring alignment with stakeholder requirements and industry standards

• Evaluating and integrating external AI solutions (e.g., provider APIs, pre-trained models) to augment internal capabilities and accelerate time-to-market

• Exploring and validating new AI methods, algorithms, and frameworks to optimize performance, scalability, and accuracy

• Leading, mentoring and developing AI Engineering Managers, supporting their growth and enabling them to effectively lead their respective teams of engineers and specialists

• Fostering a collaborative, high-performance culture that emphasizes innovation, knowledge sharing, accountability, and professional development

• Building and maintaining a talent pipeline, ensuring that the AI organization attracts, retains, and develops world-class engineering talent

• Partnering closely with Product, Design, Data, Infrastructure, and other Engineering leaders to ensure the seamless integration of AI solutions into existing and future products

• Collaborating with business stakeholders to understand AI-related requirements, communicate progress, and align on priorities and success metrics

• Advocating for AI capabilities and communicate value to executive leadership, helping to shape strategic decisions and drive business outcomes

• Establishing and maintaining engineering standards, processes, and best practices for model development, deployment, monitoring, and continuous improvement

• Ensuring compliance with all relevant data privacy, security, and regulatory requirements in the development and deployment of AI solutions

• Tracking and analyzing key performance indicators (KPIs), using data-driven insights to optimize performance, resource allocation, and return on investment

What you'll bring:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field; Ph.D. preferred

• 10+ years of experience in software engineering, with at least 5 years focused on AI, machine learning, and advanced analytics

• Demonstrated track record of delivering production-grade AI solutions at scale, ideally within a product-driven organization

• Proven experience leading and building high-performing engineering teams, including managers and team leads

• Deep understanding of modern AI/ML frameworks, architectures, and technologies (e.g., TensorFlow, PyTorch, large language models, generative AI, advanced NLP/NLU techniques)

• Strong communication and stakeholder management skills, with the ability to effectively translate technical concepts into business value for senior leadership

• Strategic mindset, with a results-oriented approach to innovation and a passion for continuously pushing technical boundaries

• Must be fluent in Arabic and English

As a Unifone you’ll receive a range of benefits:

• Competitive salary and bonus

• Unifonic share scheme (we are all owners!)

• 30 holiday days after the first anniversary

• Your Birthday off!

• Spend up to 10 weeks per year working from anywhere in the world!

• Paid leave for new parents

• LinkedIn learning license

1. Build and maintain high-performance microservices using Kotlin and Spring Boot
2. Model relational schemas, optimize SQL queries, and manage data consistency across MySQL and PostgreSQL
3. Collaborate with data scientists to consume ML models (e.g., via REST, gRPC), embed intelligent decisioning into backend services
4. Develop and maintain RESTful APIs; define contracts for frontend, partner services, or AI inference layers
5. Contribute to Docker/Kubernetes-based deployments, CI/CD pipelines, and monitoring (Grafana, Prometheus, etc.)
6. Review code, guide peers on best practices, and participate in architectural discussions and roadmap planning

Skills

• 5+ years of experience building production-ready backend systems
• Expert-level knowledge of Kotlin and Spring Boot ecosystem
• Strong experience with microservices, API design, and distributed systems
• Hands-on experience with MySQL and PostgreSQL including schema design and query optimization
• Solid understanding of software design patterns, RESTful principles, and secure coding practices
• Experience with containerized environments and orchestrators (Docker, Kubernetes)
• Familiarity with integrating AI/ML models (e.g., Python-based APIs, TensorFlow/ONNX serving, or model inference endpoints)
• Strong communication skills and ability to work across engineering and data teams

Roles & Responsibilities:

• Design and implement machine learning models, algorithms, and deep learning applications and systems.
• Optimize and scale ML models for production.
• Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications.
• Monitor model performance and identify differences in data distribution that could potentially affect model performance in real-world applications.
• Ensure algorithms generate accurate user recommendations.
• Prepare and clean data for model training, including data wrangling, feature engineering, and handling missing values.
• Integrate machine learning models into production systems (web applications, APIs) using software engineering best practices.
• Document the machine learning development process and model performance for future reference and collaboration.
• Stay up to date with developments in the machine learning industry.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (preferred).
• At least 5 years of hands-on experience as machine learning engineer or similar role.
• Familiarity with Python, Java, C++, and R.

• Machine Learning Algorithms and Techniques (supervised, unsupervised, reinforcement learning).
• Software Engineering Principles (version control, testing, DevOps).
• Cloud Computing Platforms (AWS, Azure, GCP) (often a plus).
• Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.
• In-depth knowledge of machine learning frameworks, like Keras or PyTorch.
• Familiarity with data structures, data modeling, and software architecture.
• Excellent time management and organizational skills.

Bachelor’s Degree in Computer Science or related field.

Computer Science fundamentals in object-oriented design, data structures, algorithms and complexity analysis.

• Proficiency in Python.
• Information Retrieval.
• Data Mining.
• Natural language Programming.
• Machine Learning
• Python Data Science stack (NLTK, Pandas, Numpy).
• Proficiency in HTML, Javascript, CSS and general Web 2.0 techniques.
• Experience taking a leading role in building complex software systems that have been successfully delivered to customers.
• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.

Interested applicants should send their CVs with mentioning “machine learning specialist” in the subject line.

Roles & Responsibilities:

• Design and implement machine learning models, algorithms, and deep learning applications and systems.
• Optimize and scale ML models for production.
• Collaborate with data scientists, administrators, data analysts, data engineers, and data architects on production systems and applications.
• Monitor model performance and identify differences in data distribution that could potentially affect model performance in real-world applications.
• Ensure algorithms generate accurate user recommendations.
• Prepare and clean data for model training, including data wrangling, feature engineering, and handling missing values.
• Integrate machine learning models into production systems (web applications, APIs) using software engineering best practices.
• Document the machine learning development process and model performance for future reference and collaboration.
• Stay up to date with developments in the machine learning industry.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (preferred).
• At least 5 years of hands-on experience as machine learning engineer or similar role.
• Familiarity with Python, Java, C++, and R.

• Machine Learning Algorithms and Techniques (supervised, unsupervised, reinforcement learning).
• Software Engineering Principles (version control, testing, DevOps).
• Cloud Computing Platforms (AWS, Azure, GCP) (often a plus).
• Extensive math and computer skills, with a deep understanding of probability, statistics, and algorithms.
• In-depth knowledge of machine learning frameworks, like Keras or PyTorch.
• Familiarity with data structures, data modeling, and software architecture.
• Excellent time management and organizational skills.