1 258 AI Experts jobs in Saudi Arabia
Deep Learning Engineer
Posted today
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Job Description
We're looking for highly motivated individuals with hands-on experience in Machine Learning and Deep Learning, particularly in Computer Vision and OCR (Optical Character Recognition) applications.
Key Responsibilities
- Apply and optimize existing ML/DL algorithms for real-world use cases
- Experiment with, fine-tune, and deploy models on virtual/cloud servers
- Build OCR applications from scratch, including layout detection and text extraction
- Work with NLP and text processing for unstructured data
- Collaborate on projects involving LLMs and Generative AI (a strong plus)
Preferred Skills
- Strong background in Computer Vision and OCR
- Familiarity with LLMs and Generative AI frameworks
- Experience with text processing and NLP techniques
- Ability to read and understand Arabic (a plus)
- Deployment and optimization experience on virtualized environments
If this sounds like you, we'd love to hear from you
Please send your resume with relevant experience to
Data Science Consultant – Gen AI Specialist
Posted today
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Job Description
EPAM is driving digital transformation across the Middle East, and we’re expanding our Data Practice in Saudi Arabia to meet the rising demand for cutting-edge Generative AI (Gen AI) and advanced data solutions.We are looking for an experienced Data Science Consultant with a strong focus on Gen AI applications across industries but with a strong preference for the oil and gas industry. In this role, you will design, deploy and optimize AI-driven solutions, helping organizations unlock new opportunities and navigate the evolving AI landscape.If you are passionate about leveraging AI to solve complex business challenges and create real impact, we invite you to join us in shaping the future of AI-driven innovation.ResponsibilitiesPartner with clients across industries to define and execute Gen AI strategies that align with their business goalsDesign and implement innovative AI-driven products, including customer personalization tools, demand forecasting systems, dynamic pricing solutions and operational automationLead the development, deployment and monitoring of Gen AI / ML models with a strong focus on MLOps, operational scalability and model lifecycle managementLeverage Gen AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), to solve industry-specific challenges such as supply chain optimization, risk assessment, predictive maintenance and enhanced customer engagementCommunicate AI strategies, opportunities and risks effectively with senior executives and cross-functional teamsEnsure AI solutions are fair, explainable and aligned with responsible AI practicesWork closely with legal and compliance teams to navigate industry regulations and other emerging AI governance frameworksStay ahead of industry trends, emerging Gen AI technologies and evolving regulatory landscapesContribute to pre-sales activities, including client presentations, product demos and responses to RFPs / RFIsRequirementsBachelor’s or Master’s degree in Data Science, Computer Science, Statistics or a related field; Ph.D. is a plusExtensive experience in data science roles with demonstrable impact across the Oil and Gas industry; experience in IT consulting is highly desirableExpertise in Gen AI, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and advanced AI applicationsStrong understanding of AI / ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow and StreamlitProficiency in Python and experience with frameworks like Airflow, Plotly Dash or similar toolsProven track record of implementing responsible AI practices, addressing bias and ensuring model explainabilityStrong communication skills with the ability to translate complex AI concepts into actionable insights for senior business leadersFamiliarity with AI regulatory frameworks and other relevant compliance standardsWe offerGeneral Organization for Social Insurance (GOSI)Private healthcare and life insuranceEnd of service gratuityAnnual air travel tickets for expatriatesCorporate Programs including Employee Referral Program with rewardsLearning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
- All benefits and perks are subject to certain eligibility requirements
Data Science Consultant – Gen AI Specialist
Posted today
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Job Description
EPAM is driving digital transformation across the Middle East, and we're expanding our Data Practice in Saudi Arabia to meet the rising demand for cutting-edge Generative AI (Gen AI) and advanced data solutions.
We are looking for an experienced
Data Science Consultant with a strong focus on Gen AI
applications across industries but with a strong preference for the oil and gas industry. In this role, you will design, deploy and optimize AI-driven solutions, helping organizations unlock new opportunities and navigate the evolving AI landscape.
If you are passionate about leveraging AI to solve complex business challenges and create real impact, we invite you to join us in shaping the future of AI-driven innovation.
Responsibilities
- Partner with clients across industries to define and execute Gen AI strategies that align with their business goals
- Design and implement innovative AI-driven products, including customer personalization tools, demand forecasting systems, dynamic pricing solutions and operational automation
- Lead the development, deployment and monitoring of Gen AI/ML models with a strong focus on MLOps, operational scalability and model lifecycle management
- Leverage Gen AI technologies, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG), to solve industry-specific challenges such as supply chain optimization, risk assessment, predictive maintenance and enhanced customer engagement
- Communicate AI strategies, opportunities and risks effectively with senior executives and cross-functional teams
- Ensure AI solutions are fair, explainable and aligned with responsible AI practices
- Work closely with legal and compliance teams to navigate industry regulations and other emerging AI governance frameworks
- Stay ahead of industry trends, emerging Gen AI technologies and evolving regulatory landscapes
- Contribute to pre-sales activities, including client presentations, product demos and responses to RFPs/RFIs
Requirements
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics or a related field; Ph.D. is a plus
- Extensive experience in data science roles with demonstrable impact across the Oil and Gas industry; experience in IT consulting is highly desirable
- Expertise in Gen AI, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) and advanced AI applications
- Strong understanding of AI/ML tools and platforms such as Azure, AWS, GCP, Databricks, MLFlow and Streamlit
- Proficiency in Python and experience with frameworks like Airflow, Plotly Dash or similar tools
- Proven track record of implementing responsible AI practices, addressing bias and ensuring model explainability
- Strong communication skills with the ability to translate complex AI concepts into actionable insights for senior business leaders
- Familiarity with AI regulatory frameworks and other relevant compliance standards
We offer
- General Organization for Social Insurance (GOSI)
- Private healthcare and life insurance
- End of service gratuity
- Annual air travel tickets for expatriates
- Corporate Programs including Employee Referral Program with rewards
- Learning and development opportunities including in-house training and coaching, professional certifications, over 22,000 courses on LinkedIn Learning Solutions and much more
- *All benefits and perks are subject to certain eligibility requirements
Manager | Engineering AI & Data | AI & Data | AI Architect
Posted today
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Job Description
EAI&D – AI & Data – AI Architect Manager
About Deloitte
: When you work for us, you commit to a career at one of the largest and most prestigious professional services firms in the world. We have received numerous awards over the last few years, including Best Employer in the Middle East, and Best Consulting Firm, and the Middle East Training & Development Excellence Award.
Our Purpose
Deloitte makes an impact that matters. Every day we challenge ourselves to do what matters most—for clients, for our people, and for society. We serve clients distinctively, bringing innovative insights, solving complex challenges and unlocking sustainable growth. We inspire our talented professionals to deliver outstanding value to clients, providing an exceptional career experience and an inclusive and collaborative culture. We contribute to society, building confidence and trust in the markets, upholding the integrity of organizations and supporting our communities.
Our shared values guide the way we behave to make a positive, enduring impact:
We are seeking a highly experienced
AI Architect at Manager level
to lead the design, development, and delivery of cutting-edge AI solutions for our clients. The role combines deep technical expertise in artificial intelligence with the ability to shape strategic engagements, advise senior stakeholders, and lead multidisciplinary teams. This is a client-facing leadership position where you will architect enterprise-grade AI solutions that drive measurable business impact.
Key Responsibilities
Strategy & Advisory
- Act as a trusted advisor on emerging AI trends (generative AI, agentic AI, decision intelligence, industrial AI, digital twins, etc.) and their enterprise applications.
Architecture & Solution Design
- Define enterprise-scale AI architectures, including LLM-based solutions, MLOps, agent orchestration, data pipelines, and integration with existing enterprise platforms (SAP, Oracle, Salesforce, ServiceNow).
- Establish best practices in trust, risk, governance, and compliance, ensuring adherence to regulatory frameworks (e.g., GDPR, PDPL, NDMO).
- Provide architectural leadership across AI infrastructure (cloud platforms such as GCP, AWS, Azure), model deployment frameworks, and edge/on-device AI where relevant.
Delivery & Execution
- Lead end-to-end delivery of complex AI programs, from PoC through scaling into production.
- Collaborate with engineering, data science, and consulting teams to ensure solutions are scalable, secure, and high-performing.
- Drive the industrialization of AI assets into reusable accelerators and IP for the firm.
Leadership & Practice Building
- Mentor and develop AI architects, engineers, and consultants within the firm.
- Contribute to the growth of the AI consulting practice through go-to-market offerings, client proposals, and thought leadership.
- Represent the firm at industry forums, conferences, and client workshops as a thought leader in AI architecture.
Qualifications & Experience
- 8-10 years of professional experience with at least 4+ years in AI/ML architecture roles.
- Proven experience in consulting or advisory, ideally within Big 4, top-tier consulting, or a global systems integrator.
Strong technical foundation in:
Large Language Models (LLMs), generative AI, and agent-based systems
- MLOps, data engineering, cloud-native AI solutions (GCP, Azure, AWS)
- Enterprise application ecosystems (ERP, CRM, HRM platforms)
AI security, governance, and compliance frameworks
Track record of leading large-scale AI programs and cross-functional teams.
- Strong business acumen with ability to translate complex AI concepts into executive-level narratives and measurable value.
- Advanced degree in Computer Science, Computer Engineering, AI or related field preferred.
- Willingness to travel across GCC region (50-75% of time)
Additional Preferred Qualifications
- Arabic language is a plus.
- Professional Certifications in the field is a plus.
- Publications or articles on Artificial Intelligence topics is a plus.
Key Competencies
- Strategic Thinking – Ability to shape enterprise AI transformation journeys.
- Technical Leadership – Expertise in designing and governing scalable AI architectures.
- Client Engagement – Strong consulting skills, executive presence, and storytelling ability.
- Innovation Mindset – Passion for exploring emerging AI paradigms and turning them into business value.
- People Leadership – Proven ability to mentor, inspire, and build high-performing teams.
What We Offer
- Opportunity to lead AI architecture for some of the region's most ambitious transformation programs.
- A platform to shape the future of AI consulting and build new IP and accelerators.
- Career growth in a dynamic, fast-scaling practice with global exposure.
- Excellent communication and interpersonal skills to foster effective collaboration with team members and stakeholders.
- Proven problem-solving and critical-thinking abilities, with a focus on driving innovative solutions.
- Strong business acumen, identifying opportunities where data science can drive business value and growth.
AI Director / VP of AI
Posted 2 days ago
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Job Description
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.
AI Director / VP of AI
Posted 10 days ago
Job Viewed
Job Description
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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#J-18808-LjbffrAI developer
Posted today
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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.
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.
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AI Engineer
Posted 1 day ago
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Job Description
Rewaa is on a mission to revolutionise retail! Our cutting‑edge SaaS platform empowers retailers to move and grow faster. We provide innovative solutions for point‑of‑sale, inventory management, omnichannel integrations, tax and accounting, and reporting, all delivered on a single screen with our lightning‑fast, robust hardware. With over 10,000+ customers and an ambitious trajectory toward global expansion, there’s never been a better time to join Rewaa!
What You’ll DoYou’ll architect and deploy production‑grade AI systems that solve real business problems. Think customer intelligence agents, automated sales workflows, and RAG systems that actually retrieve the right context. You’ll work with modern frameworks like LangGraph, LlamaIndex, or Vertex AI Agent Builder to build systems that scale from hundreds to thousands of daily users. This isn’t research— it’s engineering. You’ll own the full lifecycle: designing architectures, writing production code, implementing robust error handling, shipping to users, and monitoring what matters.
Required Technical Skills- Hands‑on experience deploying at least one AI system to production (not just notebooks)
- Proficiency with LLM orchestration frameworks (LangGraph, LlamaIndex, AWS Agent Core, or similar)
- Deep understanding of RAG architectures: embeddings, vector databases, retrieval strategies
- Experience with prompt engineering as an engineering discipline—versioned, tested, and iterated
- Production‑quality Python with clean API design and proper error handling
- Expertise in resilient systems: retry logic, exponential backoff, circuit breakers
- Testing strategies for non‑deterministic systems (yes, we test our prompts)
- Async processing, queue management, and distributed systems patterns
- Monitoring and observability for AI systems (beyond just “it works”)
- Cost optimization for LLM‑powered applications at scale
- Deployment pipelines and feature flagging for gradual rollouts
- Security practices including prompt injection prevention and PII handling
- 2‑4 years of experience working as an AI Engineer
- You’ve debugged why your RAG system retrieved irrelevant context and fixed the chunking strategy
- You can explain the trade‑offs between different vector databases for your use case
- You’ve written tests that catch prompt regressions before they hit production
- You think about AI systems in terms of latency, cost per query, and accuracy metrics
- You’ve had production incidents and learned from them
- Built multi‑agent systems with human‑in‑the‑loop workflows
- Integrated AI systems with CRM platforms (Salesforce, HubSpot) or business tools
- Experience with evaluation frameworks for measuring LLM output quality
- Open source contributions to AI tooling or framework projects
- War stories about scaling AI systems from 100 to 10,000+ queries/day
We are NOT Looking for data scientists building statistical models or prompt engineers without software engineering depth. We ARE looking for software engineers who love building AI systems, ship and iterate on real user feedback, and treat prompts like code and systems like products.
Alert for CandidatesPlease be aware that Rewaa and its subsidiaries do not conduct interviews via email or text and will never request payment as a condition for applying for a position or receiving a job offer. To ensure your safety, apply only through Rewaa’s official channels and avoid sharing personal information (name, address, birthdate, ID number, etc.) with unsolicited contacts. If you encounter anything suspicious, please let us know so we can assist you.
NOTICE TO EXTERNAL RECRUITERS AND STAFFING AGENCIESRewaa does not accept unsolicited resumes from external recruiters or staffing agencies. Any submission of an unsolicited resume to our resume database, directly to Rewaa hiring managers, or by other means will be considered gratis, and no recruiting fee will be paid if an unsolicited candidate from a third‑party recruiter is subsequently hired. Fees will be paid ONLY where an external recruiter has an executed service contract in place with Rewaa and resumes have been solicited by our Talent Acquisition team in connection with a specific job opening.
Seniorities & Employment- Seniority level: Not Applicable
- Employment type: Full‑time
- Job function: Engineering and Information Technology
- Industries: Software Development
Referrals increase your chances of interviewing at Rewaa by 2x
Get notified about new Artificial Intelligence Engineer jobs in Riyadh, Riyadh, Saudi Arabia.
#J-18808-LjbffrAI Engineer
Posted 1 day ago
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Job Description
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.
Requirements
- Design and optimize machine learning algorithms for specific applications.
- Manage and preprocess large datasets to extract relevant features for training AI models.
- Train machine learning models and evaluate their performance through testing.
- Use programming languages (e.g., Python, Java) for AI development.
- Apply expertise in deep learning frameworks like TensorFlow or PyTorch to build and implement neural networks.
- Work closely with cross-functional teams, including data scientists, software engineers, and domain experts.
- Analyze complex problems and propose innovative AI solutions to address business challenges.
- Stay updated on the latest advancements in AI and integrate new technologies into existing systems.
- Ensure AI applications comply with ethical standards and legal regulations.
- Prepare comprehensive documentation for algorithms, models, and processes.
- Engage in ongoing learning to stay abreast of emerging technologies and industry trends.
- Assist in deploying AI models into production environments, ensuring scalability and efficiency.
AI developer
Posted 1 day ago
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Job Description
Overview
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, Streamlit, and 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 CognizantCognizant (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.
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