365 AI & Emerging Technologies jobs in Saudi Arabia

We are seeking a forward-thinking Emerging Technologies Team Lead to drive innovation and lead the exploration, adoption, and implementation of cutting-edge technologies at DX Technologies . This role will combine technical leadership with strategic insight, guiding a multidisciplinary team to research, prototype, and deploy solutions that create real business impact. The ideal candidate is passionate about staying ahead of tech trends and translating them into tangible value for clients.

• Lead and mentor a team of engineers, researchers, and innovators focused on AI.
• Identify, evaluate, and prototype new technologies with potential to transform business models and digital ecosystems.
• Collaborate with product, consulting, and development teams to integrate emerging technologies into client solutions.
• Develop and maintain a technology radar to track and prioritize trends relevant to the company and clients.
• Engage with clients and stakeholders to translate innovation opportunities into concrete roadmaps and pilots.
• Oversee the design and execution of proof-of-concepts (PoCs) and ensure smooth transition from exploration to implementation.
• Build partnerships with startups, research institutions, and tech vendors to stay at the forefront of innovation.
• Foster a culture of continuous learning, experimentation, and collaboration within the team.
• Report on innovation outcomes, ROI, and strategic impact to senior management.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Innovation Management, or related field.
• 3+ years of experience in technology leadership, R&D, or innovation roles.
• Proven track record of leading teams and delivering innovative technology projects.
• Hands-on expertise in at least one emerging technology area (AI/ML).
• Strong understanding of digital transformation and enterprise technology landscapes.
• Excellent leadership, communication, and stakeholder management skills.
• Ability to balance strategic vision with practical execution.
• Experience building partnerships and ecosystems with startups, accelerators, or research hubs is a plus.

About Lucidya

Lucidya is MENA’s leading AI-powered Customer Experience Management (CXM) platform, empowering brands to truly understand, serve, and grow their customer base. Our product suite spans social listening, omnichannel support, surveys, CDP, and more, all infused with smart, scalable AI.

Now, we’re shaping the future of CX through Agentic AI, autonomous AI agents that think, reason, and act across channels, platforms, and tasks. If you’re passionate about redefining how AI serves real-world business workflows, we want to hear from you.

We’re looking for a Senior AI Product Manager to spearhead our Agentic AI product line. This is a strategic, high-impact role where you’ll shape the vision and execution of AI-native innovations that redefine customer engagement.

You'll work at the intersection of GenAI, LLMs, agent-based systems, and real customer needs, leading cross-functional teams to bring next-gen AI solutions to life.

• Lead the vision and roadmap for Lucidya’s Agentic AI products, from concept to launch and beyond.
• Drive the development of AI-powered agents that automate tasks like customer support, lead generation, and insight extraction across multiple channels.
• Translate complex customer needs into scalable, intelligent solutions using the latest in AI tech.
• Define product capabilities around memory, reasoning, action execution, multi-agent orchestration, and other key agentic workflows.
• Collaborate with Engineering, Data Science, and Design to ship high-impact features quickly and effectively.
• Partner with Marketing and Sales to craft compelling go-to-market strategies and messaging.
• Stay ahead of the curve by researching emerging technologies like LLMs, RAG pipelines, vector databases, and AI copilots.
• Own success metrics, from user adoption and retention to satisfaction and business impact.

• 5+ years of experience in product management, with 2+ years in AI/ML or GenAI products.
• Hands-on experience with agent-based systems, AI copilots, or automation platforms.
• Strong technical fluency - you speak the language of engineers, understand LLMs and embeddings, and can reason through AI architecture.
• A builder’s mindset - you thrive in ambiguity and love taking products from 0 to 1.
• A proven track record of launching innovative, AI-powered solutions in fast-paced or startup environments.
• Excellent communication skills - you can clearly align executives, engineers, and users around a product vision.
• Deep sense of ownership and a passion for using AI to transform real-world workflows.

• Experience with OpenAI, LangChain, Pinecone, or similar LLM tech stacks.
• Background in building AI-first platforms or AI-enhanced SaaS.
• Experience in B2B and industries like CX, MarTech, or support automation.

• Introduction with our MawHub Talent Partner
• 1st Interview with the Head of Product
• Technical Assignment / Take-home-Task
• Final Interview / Presentation Interview

• Help shape the future of Agentic AI in the region and beyond.
• Work alongside a world-class team of builders, engineers, and AI researchers.
• Be part of a mission-driven company revolutionizing customer experience across MENA.
• Competitive compensation, stock options, and the opportunity to make an outsized impact.

Overview

We are seeking an experienced AI Engineer to design and implement advanced AI and machine learning solutions that enhance banking operations, customer experience, risk analysis, and process automation. The ideal candidate will have a strong background in applied machine learning, data science, and AI systems architecture.

• Design, develop, and deploy machine learning and AI models tailored to banking and financial services use cases (e.g., fraud detection, credit scoring, customer insights).
• Perform data preprocessing, feature engineering, and exploratory data analysis.
• Work with structured and unstructured data from various sources.
• Collaborate with business units and data engineering teams to define model requirements and deployment strategies.
• Continuously evaluate and improve AI models based on performance metrics.
• Ensure compliance with data privacy, security, and regulatory standards.
• Document processes, experiments, and model outcomes clearly for technical and non-technical stakeholders.

Aramco energizes the world economy.

Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

We are seeking an Artificial Intelligence Specialist (AIS) to join Gas Operations Technical Support Division. The Gas Operations Technical Support Division is responsible for providing AI-powered solutions to all Gas Plants. The objective is to leverage AI advancements to support data-driven decisions in Safety, Environment, Energy, Efficiency and value creation. The AI Specialist role is to work closely with the Gas Business Line and other corporate entities to manage AI business cases from identification of challenges/opportunities through solution scouting, scoping, funding, PoC, deployment, evaluation and value tracking.

• Lead a multidisciplinary team to oversee and monitor AI business cases from challenges/opportunities identification, solution scouting, scoping, funding, PoC, deployment, evaluation and value tracking.
• Collaborate with internal and external entities and with third parties to drive AI implementation in Gas.
• Prioritize AI business cases and oversee the quality of all deliverable packages required to secure funds.
• Develop a roadmap to scale AI solutions across the Business Line.
• Facilitate and monitor AI solution development and execution phases with all stakeholders.
• Develop Generative AI use cases for Safety, Environment, Operations and Maintenance.
• Apply statistical analysis methods to test hypotheses and validate results based on the project or use-case.
• Build and train machine learning models to solve specific problems and optimize models for performance and accuracy (e.g., anomaly detection, predictive models).
• Assess, identify, and mitigate key risks related to cybersecurity and ensure data practices adhere to the company’s regulations and data privacy standards.
• Act as the Gas AI focal point of contact and coordinator with all other entities.

• The candidate must hold a Bachelor’s degree in Engineering, Computer Science, Data Science and Analytics, Machine Learning, AI, or a related field from an accredited university. An advanced degree in an engineering discipline with a focus on machine learning, AI, applied statistics, or operations research is desirable.
• 10 years of experience in building data analytics-based products or machine learning models.
• Proficiency in programming (e.g., Python) and experience with statistics and data cleaning libraries, plus data visualization tools such as Power BI or Tableau.
• Strong knowledge in regression and classification, association rules, clustering, big data, databases & SQL, textual analysis (NLP), neural networks, and advanced visualization. Understanding of statistical, predictive, and optimization algorithms is required.
• Analytical and problem-solving skills to derive insights and opportunities from data.
• Basic project management skills to plan, execute, and deliver data science projects.
• Past experience in leading AI solution deployment projects for Oil and Gas is preferable.
• Knowledge of plant automation systems, standard real-time interfaces such as OPC and process historians (e.g., PI) is desirable.

Job posting start date: 07/07/2025

Job posting end date: 12/31/2025

Our high-performing employees are drawn by challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.

At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. As a global energy company, we address some of the world’s biggest technical, logistical and environmental challenges and invest heavily in talent development. We have a proud history of educating and training our workforce and encourage ongoing growth through comprehensive workforce development programs.

Overview

Aramco energizes the world economy. Aramco occupies a special position in the global energy industry. We are one of the world’s largest producers of hydrocarbon energy and chemicals, with among the lowest Upstream carbon intensities of any major producer. With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco’s value to society. Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom’s vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply. We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

Job Overview

We are seeking an Artificial Intelligence Specialist (AIS) to join Gas Operations Technical Support Division. Gas Operation Technical Support Division is responsible for providing Artificial Intelligence (AI)-powered solutions to all Gas Plants. The objective is to leverage AI technological advancements to support data-driven decisions in Safety, Environment, Energy, Efficiency and value creation.

The Artificial Intelligence Specialist primary role is to work closely with the Gas Business Line and other corporate entities to manage AI business cases starting from challenges/opportunities identification, solution scouting, formulating, scoping, funding, PoC, deployment, evaluation and value tracking.

• Leads a multidisciplinary team to oversee and monitor Gas AI business cases starting from challenges/opportunities identification, solution scouting, formulating, scoping, funding, PoC, deployment, evaluation and value tracking
• Collaborate with internal/external entities and with 3rd parties to drive AI implementation advancement in Gas
• Prioritizes AI business cases and oversee the quality of all deliverable packages required to secure funds
• Develops a roadmap to scale-up AI solutions across the Business Line
• Facilitate and monitor AI solutions development and execution phases with all stakeholders
• Develops Generative AI cases for Safety, Environment, Operations and Maintenance
• Applies statistical analysis methods to test hypotheses and validate results based on the project or use-case
• Build and train machine learning models to solve specific problems and optimize models for performance and accuracy such as anomaly detection algorithms or predictive models
• Assesses, identify, and mitigate key risks associated with cybersecurity and ensure that data practices adhere to the company’s regulations and data privacy standards
• Acts as the Gas AI focal point of contact and coordinator with all other entities

• The candidate must hold Bachelor’s degree in Engineering, Computer Science, Data Science and Analytics, Machine Learning, or AI, or in a related field from an accredited university. Advanced degree in an engineering discipline with focus on machine learning, artificial intelligence, applied statistics or operations research is desirable
• 10 years of experience in building data analytics-based products or machine learning models
• Able to program in different languages such as Python and has experience with statistics and data cleaning libraries and methodologies, in addition to visualization such as Power BI or Tableau

• Strong knowledge in regression and classification, association rules & clustering, big data, databases & SQL, textual analysis (NLP), neural networks, and advanced visualization. Understanding of statistical and predictive and optimization algorithms is required

• Analytical and problem-solving skills to derive insights and opportunities from data
• Basic project management skills to plan, execute, and deliver data science projects
• Past experience in leading AI solution deployment projects for Oil and Gas is preferable
• Knowledge of plant automation systems, standard real-time interfaces such as OPC and process historians such as PI is desirable

Job posting start date: 07/07/2025

Job posting end date: 12/31/2025

Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.

At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world’s biggest technical, logistical and environmental challenges, we invest heavily in talent development.

We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs – one of the largest in the world.

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

Overview

We are seeking a highly motivated and creative Innovation Specialist to drive groundbreaking ideas, foster a culture of innovation, and identify opportunities to enhance our products, services, and business processes. The ideal candidate will combine strategic thinking with hands-on execution to turn innovative concepts into actionable solutions that drive business growth.

• Idea Generation & Exploration: Research emerging trends, technologies, and market needs to identify opportunities for innovation.
• Brainstorm and develop creative solutions to business challenges.
• Conduct market and competitor analysis to stay ahead of industry trends.
• Develop and refine innovative concepts into viable business solutions.
• Collaborate with cross-functional teams (R&D, marketing, engineering, etc.) to bring ideas to life.
• Manage the innovation pipeline, from ideation to prototyping and scaling.
• Stakeholder Engagement: Present and pitch innovative ideas to leadership and stakeholders.
• Build partnerships with startups, academia, and industry experts to accelerate innovation.
• Metrics & Impact: Track and measure the success of innovation initiatives.
• Continuously refine strategies based on feedback and market changes.

• Education: Bachelor’s degree in Business, Engineering, Design, or a related field (MBA or advanced degree preferred).
• Experience: 3+ years in innovation, product development, or a related field.
• Skills: Strong analytical and problem-solving abilities.
• Excellent communication and presentation skills.
• Familiarity with design thinking, lean startup methods, or agile innovation frameworks.
• Ability to work independently and lead cross-functional teams.

Associate

Full-time

Strategy/Planning, Information Technology, and Design

Telecommunications

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.