113 Generative AI jobs in Saudi Arabia

We are seeking a Generative AI Engineer to join our team and help design, build, and optimize applications powered by large language models (LLMs) and other generative AI technologies. This role combines deep technical expertise with creativity in prompt design, system integration, and deployment of AI-driven solutions that deliver real-world impact.

You will work closely with product, research, and engineering teams to develop scalable, reliable, and effective AI solutions—from backend infrastructure to prompt optimization.

• LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
• Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
• Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
• MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
• Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
• Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
• Evaluation & Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
• Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies.

• Minimum Bachelor’s degree in Computer Science, Data Science, or a related field.
• Strong background in AI/ML, with a focus on generative models.
• Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
• Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
• Expertise in prompt engineering and prompt optimization for diverse tasks.
• Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
• Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
• Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
• Proactive mindset with the ability to take ownership of challenges and drive solutions.
• Publications, research contributions, or involvement in open-source generative AI projects are a strong plus.

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.

Scope:

• We are seeking a highly experienced and technically grounded Gen AI Consultant to lead and support client engagements. This role blends technical expertise in Gen AI and Agentic AI with consulting acumen and business development capabilities, driving strategic initiatives, identifying opportunities, and delivering value-driven solutions.
• The ideal candidate will have 10+ years of experience with a solid background in Gen AI, AI Agents, machine learning, and platforms. Plays a key role in driving growth by identifying AI-driven opportunities, engaging clients with innovative Generative AI and Agentic AI solutions, and enabling sales teams with the right technical and strategic insights. This role bridges technical expertise with commercial acumen, collaborating closely with sales, product, marketing, and delivery teams to accelerate the adoption of AI solutions across industries.

Job Responsibilities:

Pre-Sales Support:

• Partner with sales teams to identify, qualify, and pursue Gen AI and Agentic AI opportunities.
• Conduct client discovery sessions to understand pain points and map them to Generative AI and AI Agents use cases.
• Deliver tailored demos, technical presentations, and proof-of-concepts (POCs) to clients.
• Create solution architectures and assist in proposal development (RFPs, RFIs, SoWs).

Business Development:

• Identify emerging trends and growth opportunities in the GenAI and Agentic AI space.
• Evangelize Generative AI and AI Agents capabilities to external clients and internal stakeholders.
• Develop go-to-market strategies and Gen AI and AI Agents solution offerings with product and marketing teams.
• Build and manage a pipeline of strategic Gen AI and AI Agents engagements with measurable business impact.

Thought Leadership & Enablement:

• Stay abreast of advancements in Gen AI, Agentic AI, LLMs, multimodal models, and related technologies.
• Represent the company at industry forums, conferences, and client events.
• Train internal stakeholders on the value proposition, use cases, and limitations of GenAI and AI Agents.
• Contribute to whitepapers, case studies, and blogs to establish market presence.

Required Skills:

Technical Competencies:

• Deep understanding of LLMs, prompt engineering, fine-tuning, and AI model deployment.
• Familiarity with tools like OpenAI, Claude, Cohere, Google Gemini, Hugging Face, etc.
• Experience with APIs, vector databases (e.g., Pinecone, FAISS), and cloud-based AI tools.
• Ability to translate business problems into technical AI solutions.
• Knowledge of cloud data platforms (e.g., Azure Synapse, AWS Sagemaker, GCP BigQuery).
• Experience in regulatory considerations for AI (e.g., GDPR, data privacy, model bias).
• Experience with custom LLM training, RAG architectures, or AI copilots.

Business & Interpersonal Competencies:

• Excellent client-facing and presentation skills.
• Strong problem-solving and consultative selling skills.
• Ability to communicate complex Gen AI and Agentic AI concepts to non-technical stakeholders.
• Entrepreneurial mindset with a strong drive to innovate and grow business.
• Cross-functional collaboration with sales, engineering, and product teams.
• Strong experience in client engagement, requirements gathering, solution scoping, and executive communication.
• Ability to create winning proposals, present value propositions, and conduct strategic account planning.
• Willingness to travel as needed to client sites.
• Strong organizational, analytical, and presentation abilities.

Required Experience:

• 8-10 years of experience in technology consulting, pre-sales, or business development roles.
• At least 2–3 years of hands-on experience with Generative AI, AI Agents, NLP, or ML/AI platforms.
• Proven experience in client engagement, solutioning, and closing Gen AI and Agentic AI-centric deals.
• Experience working with enterprise clients across industries such as oil & gas, energy & utilities, petrochemical, government & public sectors, Healthcare, Retail and Manufacturing.
• Experience in developing proposals, responding to RFPs/RFIs, and managing technical presales cycles.

Required Education:

• Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
• Master's degree or MBA preferred (especially with AI, strategy, or innovation focus).
• Certifications in AI/ML (e.g., Google Cloud AI, Azure AI, AWS ML, OpenAI, Hugging Face, or equivalent) are a plus.

Gen AI Engineer (Arabic-Speaking, Riyadh-Based)

Job Type: Contract

Location: Riyadh, Saudi Arabia

About the Role

We are looking for a skilled
Gen AI Engineer
with strong expertise in
Large Language Models (LLMs)
and
Generative AI techniques
to join our team in
Riyadh
. This is a unique opportunity to work on cutting-edge AI solutions in collaboration with business SMEs and cross-functional teams.

Key Responsibilities

• LLM Development & Optimization
  : Design, fine-tune, and deploy GenAI solutions using prompt engineering, RAG, and agent-based architectures.
• Codebase Ownership
  : Write clean, efficient, and scalable code in
  Python
  (LangChain/LangGraph) and
  SQL
  .
• Cloud Deployment
  : Implement GenAI systems on cloud platforms (Azure, AWS, or GCP) with CI/CD best practices.
• Collaboration
  : Work closely with data scientists, engineers, and business stakeholders to translate needs into technical solutions.
• Mentorship
  : Provide technical leadership and support to the engineering team on best practices in LLM development.
• Innovation
  : Stay updated on GenAI research and introduce novel approaches to improve model performance.

Required Skills & Qualifications

• 5+ years of experience in building ML systems.
• 1+ years of hands-on experience with LLMs and Generative AI (prompt engineering, RAG, agents).
• Strong experience with
  Python
  ,
  Langchain/LangGraph
  , and
  SQL
  .
• Familiarity with cloud platforms (Azure, AWS, GCP).
• Strong communication skills and ability to work with Arabic-speaking business SMEs.
• Experience leading teams toward a technical roadmap.

Note
: Arabic-speaking candidates currently based in
Riyadh
are preferred.

We are seeking a Generative AI Engineer to join our team and help design, build, and optimize applications powered by large language models (LLMs) and other generative AI technologies. This role combines deep technical expertise with creativity in prompt design, system integration, and deployment of AI-driven solutions that deliver real-world impact.

You will work closely with product, research, and engineering teams to develop scalable, reliable, and effective AI solutions—from backend infrastructure to prompt optimization.

• LLM Application Development: Build and deploy AI-powered applications leveraging LLMs, multimodal models, and generative AI frameworks.
• Prompt Engineering: Design, test, and optimize prompts to achieve reliable, high-quality outputs for diverse use cases.
• Model Integration: Integrate third-party models (e.g., OpenAI, Anthropic, open-source LLMs) into production systems using APIs and MCP servers.
• MLOps/AI Infrastructure: Configure and manage model-serving environments, ensuring scalability, security, and high availability.
• Data Handling: Preprocess and manage datasets to fine-tune or adapt models for specific business needs.
• Collaboration: Partner with product managers, designers, and researchers to align AI capabilities with user experience goals.
• Evaluation & Monitoring: Define metrics, run experiments, and monitor generative AI systems for quality, bias, and performance.
• Innovation: Stay up to date with the latest advancements in generative AI and propose creative applications of emerging technologies.

• Minimum Bachelor's degree in Computer Science, Data Science, or a related field.
• Strong background in AI/ML, with a focus on generative models.
• Strong proficiency in Python and hands-on experience with deep learning frameworks such as PyTorch, TensorFlow, and Hugging Face.
• Practical experience with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral, Falcon).
• Expertise in prompt engineering and prompt optimization for diverse tasks.
• Proven experience in configuring and setting up MCP servers or similar model-serving infrastructure.
• Strong problem-solving skills with the ability to translate complex business requirements into scalable AI solutions.
• Excellent communication and collaboration skills to work effectively across technical and non-technical teams.
• Proactive mindset with the ability to take ownership of challenges and drive solutions.
• Publications, research contributions, or involvement in open-source generative AI projects are a strong plus.

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.

A Private University, located in Riyadh is looking to hire
Lecturer in Generative Artificial Intelligence (full time).

Requirements:

-Degree in AI or a related field

-Strong knowledge of Generative AI technologies

-Teaching Experience

Role Description

This is a full-time role (on campus) for a Lecturer of AI / Generative AI, located in Riyadh. The Lecturer will be responsible for delivering lectures, conducting labs, preparing course material. The Lecturer will work closely with students to guide and support their academic journey.

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

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

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.

Role Overview

We are looking for a driven and experienced Machine Learning Engineer with strong

specialization in Computer Vision to join our AI team. This role involves developing high

performance computer vision solutions that power real-world applications across diverse

domains such as surveillance, retail analytics, document automation, inspections, and beyond.

You will contribute across the full lifecycle of model development. from problem definition to

deployment. working closely with multidisciplinary teams to transform business requirements

into scalable intelligent systems.

Role Summary

As a Machine Learning Engineer with a focus on Computer Vision, you will bridge research and

real-world deployment. Your mission is to transform complex visual data into actionable

intelligence, whether it's through real-time video analytics, document understanding, or

automated inspection. You will work cross-functionally to build, optimize, and scale machine

learning models that are robust, efficient, and impactful in operational environments.

Key Responsibilities

• Design and develop machine learning models tailored for image, video, or document

analysis tasks such as classification, detection, segmentation, or text extraction.

• Build and maintain robust end-to-end pipelines for data ingestion, preprocessing, model

training, validation, and deployment.

• Experiment with new algorithms and architectures to improve model performance and

adaptability across environments.

• Collaborate with hardware, software, and product teams to integrate vision models into

cloud-based and on-edge environments.

• Analyze performance metrics and continuously optimize models for accuracy, latency,

and resource efficiency.

• Support team members with code reviews, architecture planning, and research

explorations.

• Ensure models and pipelines follow best practices in versioning, testing, and

documentation.

Minimum Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field with a

strong focus on machine learning or computer vision.

• 4–7 years of professional experience in designing and deploying ML solutions, with at

least 3 years focused on computer vision.

• Solid understanding of deep learning principles and core CV concepts such as image

transformations, feature extraction, and object recognition.

• Strong coding and debugging skills in a major programming language used in AI/ML

development.

• Experience in handling large-scale image/video datasets and building automated training

workflows.

• Ability to evaluate model performance using appropriate statistical and business metrics.

Preferred Qualifications

• Experience deploying models into production environments, both cloud-based and

edge-oriented.

• Familiarity with video processing, multi-modal data fusion, or document layout analysis.

• Background in solving real-world problems involving noisy data, low-resource

environments, or high accuracy demands.

• Exposure to annotation workflows, human-in-the-loop training, or active learning

setups.

• Strong communication skills, with ability to document findings, present solutions, and

collaborate across disciplines.